Dcgan colabJobb

Uppgiften är att bygga en slumpgenerator i programmeringsspråket python i miljön google colab. Slumpgenreatorn ska kunna läsa in information(i det här fallet namn ifrån ett google spreadsheet och slumpa ut dem här namnen i basgrupper(6 basgrupper, 6 i varje grupp, där vissa grupper blir färre personer) i spreadsheatet. Så alla basgrupperna och elever får bra placeringar. progrmmaet ska och kunna t.e.x slumpa om placeringar och basgrupper i klassrummet om man vill det. Jag kanske inte har förklarat uppgiften så väl, så jag kan enkelt bara dela instruktionerna där allting är väl skrivet så ni får en ökad förståelse för uppgiften.

I'm looking for a specialist capable of conducting image classification for facial detection using the YOLOv9 model on Colab. The primary goal is to pin-point and categorize human face images. The key tasks include: - Implementing YOLOv9 model on Colab for image classification - Prioritizing faces as the main class for identification and categorization - Enhancing the model to increase its detection degrees of accuracy - Ensuring the solution is scalable and effective The ideal candidate should have robust skills in: - Python programming - Deep Learning (specifically convolutional neural networks) - Proficiency in Google Colab - Prior hands-on experience with YOLOv9 or similar models. Please note that the work does not require detection and classifica...

...LLMs and evaluate their performance against each other. Key responsibilities: - Conducting performance tests on LLMs. - Analysing the results and comparing them to identify the best performing system. - Providing recommendations on how to optimize the performance of the chosen LLM. - Set up a local testing environment (chatbot, playground dashboard) - Set up a cloud server (API server) - Google Colab, Jupyter Notebook - All configuration, test scripts in python, bash and exe) - Dockerized images for future implementation - Our Korean dataset of 20,000 published to HuggingFace workspace based on an existing Korean dataset - documentation 1. testing items/procedures 2. instructions, manuals of this project. You will also be required to integrate the API server with third-party...

I am seeking a highly skilled Python developer to add Recall, Precision, and F1 graph functionalities to the existing YOLOv4 Tiny on Colab implementation.

I need a skilled individual to develop performance testing scripts in Python for Colab and Jupyter notebook. The performance metrics that the scripts should measure are: F1 score, Perplexity, Accuracy, and BLEU score. These metrics can be found in the provided GitHub link. Ideal skills and experience for this job include: - Proficiency in Python, Jupyter-notebook, and Colab - Experience with performance testing and metrics - Ability to create scripts that accurately measure the metrics provided - Experience with NLP tasks and language models would be a plus LLM: mixtral and Korean Datasets

...f-AnoGAN GitHub project to function on my Colab. I'm at an intermediate level of use with Colab and need this project to run smoothly here without any modifications to the original GitHub project. Here are my requirements: * Set up the f-AnoGAN project in my Colab environment without adjusting its original code. * Deliver a perfectly functioning project in my Colab. The ideal candidate for this task should have: * Profound experience in Colab and GitHub. * Familiarity with implementing GitHub projects on Colab * A problem-solving approach, as they may run into unforeseen issues while adjusting the environment. I am not seeking a tutorial or instructions to learn how to do it. The desired deliverable is a fully functioning f-AnoGAN proje...

Se realizará un script de python el cual permitirá automatizar un proceso de creación de libros de excel de acuerdo al flujo existente de unas macros, adicionalmente el programa debe ser capaz de ofuscar el código de vba e impedir la edición del mismo, El proyecto se realizará en google colab, de forma que pueda ser ejecutado desde cualquier dispositivo con conexión a internet y cuente con acceso al programa.

...performance against each other. Key responsibilities: - Conducting performance tests on LLMs. - Analysing the results and comparing them to identify the best performing system. - Providing recommendations on how to optimize the performance of the chosen LLM. - Set up a local testing environment (chatbot, playground dashboard, Jmeter 5.5) (done) - Set up a cloud server (API server) (half done) - Google Colab, Jupyter Notebook - All configuration, test scripts in python, bash and exe) - Dockerized images for future implementation - Our Korean dataset of 20,000 published to HuggingFace workspace based on an existing Korean dataset - documentation 1. testing items/procedures 2. instructions, manuals of this project. You will also be required to integrate the API server with thir...

i want to make chatbot for customer service using machine learning. make dataset from scratch like make answer and question. need cheap price. using python and machine learning or deep learning or etc. using google colab it's ok.

...evaluate their performance against each other. Key responsibilities: - Conducting performance tests on LLMs. - Analysing the results and comparing them to identify the best performing system. - Providing recommendations on how to optimize the performance of the chosen LLM. - Set up a local testing environment (chatbot, playground dashboard, Jmeter 5.5) - Set up a cloud server (API server) - Google Colab, Jupyter Notebook - All configuration, test scripts in python, bash and exe) - Dockerized images for future implementation - Our Korean dataset of 20,000 published to HuggingFace workspace based on an existing Korean dataset - documentation 1. testing items/procedures 2. instructions, manuals of this project. You will also be required to integrate the API server with third-pa...

I need an experienced data scientist or AI specialist to assist with evaluating a Korean dataset using OpenAI API calls. my goal is to set up a good te... API example; deliverables; The test procedure as described and per our discussion to the format of the sample google doc. Set of scripts for JMeter configs, python for accuracy and inference test. (hopefully Colab) A working PC implementation to run the test, on a machine and VM (dockerized) to replicate the same testing environment repeatedly. A full documentation of test procedure, steps, screenshots, reference links, of running tests, and setups.

I'm seeking a proficient solution architect to develop an automation that transfers text, numerical, and date/time data from Excel to SharePoint, to Google Colab, and finally to Power BI. A recurring data transfer will be needed, though the frequency will vary based on our ongoing needs. I already have the google colab script ready and I have the excel files on sharepoint. So once i add a row to the sharepoint list, the automation should trigger and the changes should be reflected on power bi dashboard Ideal Skills and Experience: - Proficiency with Excel, SharePoint, Google Colab and Power BI - Solid experience in data management and automation - Detail-oriented with problem-solving skills Project Responsibilities: - Set up an automated system for data transfer...

I need an experienced data scientist or AI specialist to assist with evaluating a Korean dataset using OpenAI API calls. my goal is to set up a good te... API example; deliverables; The test procedure as described and per our discussion to the format of the sample google doc. Set of scripts for JMeter configs, python for accuracy and inference test. (hopefully Colab) A working PC implementation to run the test, on a machine and VM (dockerized) to replicate the same testing environment repeatedly. A full documentation of test procedure, steps, screenshots, reference links, of running tests, and setups.

...particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve the model's predictive power. Please provide details of your prior experience in similar projects, and any relevant qualifications you hold. The original model is asso...

...potentially collaborating on this exciting project.I know how much ai powerful.i need an specific custom ai tool for single user/propt private usage,give turbo organic internet traffic on my same as AdWords work .before post this project.I already serach about 'build ai custom model 'and I found many platform allow to build dataset/host/run custom model free of cost ,like tensorflow/pytorch/colab/teachable machine /diagflow/streamlit/kaggle/clarifai/python anywhere/keras etc,I can't build because i haven't knowledge of programming,don't make me I have analytic account and several AI tool available for found where traffic come on organic internet traffic generator ai tool.i like appreciate if anyone responded is fixed because no need to buy any types o...

I need to train a model with a dataset and need help with it. The objective is to guide me to run the available code by ordering it and training it with a dataset on google colab, also provide a document as a read me file to explain it. The code is of a research paper with the name Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. The link for the paper is Also the verified code is at and the ipynb notebook is attached below, the snippets are to be reordered in order to run it as per the research paper and train it with Uni-Mib SHAR dataset which is availabe in NumPy format. The needed

I need support in cleaning and organizing a dataset. - You should be proficient in Python. - Experience with data cleaning and manipulation. - Familiarity with data analysis would be an added advantage. Part A: Advanced Data Analysis Load '' into Jupyter or Colab. Compute Pearson's correlation coefficient for all attributes, save as corr_matrix. Sort and display correlation of all attributes with 'number_of_reviews'. Visualize with Seaborn's heatmap for corr_matrix and pandas' scatter_matrix for 'number_of_reviews', 'reviews_per_month', 'availability_365'. Part B: PCA with MNIST Dataset Discuss motivations and drawbacks of reducing dimensionality, including the curse of dimensionality. Explain if and how you can re...

I'm seeking a proficient Python developer with experience in machine learni...TensorFlow for handling machine learning tasks. Your experience with Google Colab will greatly benefit this project as you'll be troubleshooting code specific to this platform. The code for the paper attached below can be found at , the model is to be trained with OPPORTUNITY Human activity dataset The code is for the research paper which can be found at Database - https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition This is the research paper and the code is attached to it, I'm unable to run it and debug it, help me with running it on google colab.

I'm searching for a skilled professional who can seamlessly integrate our sales forecasting codebase (developed in Google Colab) into our website. The primary objective is to construct an intuitive user interface that effectively employs our existing code for dynamic forecasting. Specifically, the website should have the following features: - Interactive Charts: The site should be able to display charts that are engaging, informative and user-friendly. - Dynamic Forecasting: The integration should allow users to forecast product volumes for a specific item over the upcoming 15 days or a month. The data will be based on our existing sales forecasting code. Key Requirements: - Proficient in both Python and JavaScript. - Prior experience with integrating complex codebases int...

Core Development : Spearhead the design, development, and deployment of generative AI models with a focus on natural language understanding and processing. Tool Utilization and Contribution : Engage with and contribute to libraries and frameworks such as LangChain, ensuring our application development is as...software engineering practices, from version control to CI/CD pipelines, ensures quality and efficiency. Problem-Solving and Collaboration : Exceptional problem-solving skills, innovative thinking, and the ability to collaborate effectively across teams are crucial. Ethical Framework : A solid understanding of ethical AI principles underpins everything we do. Tool Competency : Proficiency in Google Colab and Postman or similar API platforms is vital for prototyping and testing ...

Looking for Python expert to do code corrections based on reviews Long TERM. For initial test taks I attach code in Google Colab Notebook + TXT file with required corrections + New test data. Please asnwer to each and/or mark that which are unclear

Google colab Code + report will be delivered by 04/13/24

...learning and Google Colab environment. The main goal of this project is to create an AI system capable of diagnosing retinoblastoma through eye images. Key tasks include: - Building an algorithm that accurately compares new eye images with a provided dataset of 50 normal eye images and 50 images of retinoblastoma. - Ensuring seamless functionality on the Google Colab compiler. - The project entails supervised machine learning, as the datasets are labelled correctly. - Confirming the AI's ability to effectively diagnose retinoblastoma based on its comparison of the uploaded image and the image dataset. The successful candidate will have strong skills in machine learning algorithms, specifically for medical diagnosis purposes, as well as proficiency in Python and Go...

I am looking for a skilled freelancer to analyze the sentiments of the reviews given by the customers in the data and make some useful conclusions. Read ML PROJECT GUIDELINES pdf for full details. Two dataset excel files are given. Project should be done in Sample submission colab notebook. An example project is also given for reference. Complete full project as in the notebook and guidelines. Requirements: - Analyze and categorize sentiments - Visualize the results - Cluster Zomato restaurants into different segments. Ideal skills: - Strong experience in machine learning - Proficiency in data analysis and visualization - Knowledge of sentiment analysis techniques - Familiarity with clustering algorithms

For this project, I require a freelancer with explicit skills in Python and predictive modeling like CNN UNET,SVM,RESNET, specifically Semantic Segmentation. The primary goal is to harness AI in understanding images and mining useful insights therefrom. Using GOOGLE Colab is best for me I have code for Model i will give and i have some augmentation codes that work with colab Here's a step-by-step plan to accomplish your project:(Google Colab is Best for me) Dataset: Split your dataset into training, testing, and validation sets with ratios of 0.6, 0.2, and 0.2 respectively. You can use libraries like scikit-learn to achieve this. Augmentation: Apply various augmentation techniques to create separate augmented datasets. These techniques include: Rotation C...

..., or other sources. Important: models should be recent (from the last 9 years: 2015-2024), well known and having an research article about the model with results. Because we are going to benchmark them and get new results. Make sure all found models can be executed and re-trained in the free version of Google Colab using GPU environment. Models should not be too big or complex, it should comply with Google Colab free version limits. 2) Create a free version of Google Colab notebook using GPU environment. In notebook do the following: 2.1) change each model's architecture found at step 1, by appending(merging) our small tensorflow model: input_layer = custom_input_layer() hidden = (10, activation='gelu')(input_layer) hidden = ()([input_layer,

We have a task at hand involving the extraction of frames from a video file. Each frame from the video is converted into an image. Now, within these images, there are elements such as numbers and text. Our objective is to capture and extract these numerical and textual elements. We then organize this extracted data into CSV (Comma-Separated Values) files, making it easier to manage and analyze... making it easier to manage and analyze. Additionally, depending on specific requirements or preferences, we might need to customize or adjust the formatting of the CSV files accordingly. This process allows us to effectively utilize the information contained within the video frames for further analysis or applications. this whole thing should developed in python code and executable in google c...

I am currently seeking an experienced Python developer who can efficiently download next-GPT into my Colab Pro. In addition to integrating the model, the successful candidate should be proficient in setting up the user interface in Colab Pro accurately. Key Responsibilities: - download the GPT into my Colab Pro using Python. - make it run in my environment. - Construct and fine-tune the UI in Colab Pro.

The goal of this project is to create an advanced weather forecasting system that utilizes weather data provided by the Visual Crossing API. The project aims to process and analyze historical and current data to create weather forecasts for the next 26 days. The system will be built using TensorFlow in the Google Colab environment, which will allow for the use of cloud computing resources and facilitate the work on the project. Requirements: Integration with Visual Crossing API: Implementation of integration with the Visual Crossing API is required to retrieve weather data. The data should cover a wide range of information, such as temperature, precipitation, humidity, wind speed, atmospheric pressure, and more. Data Processing and Analysis: Weather data should be processed and p...

I'm searching for an intermediate level data scientist who can use Python effectively within the Google Colab environment. The primary responsibilities for this project are: - Fix error in .json dataset to use in Google Colab (currently showing invalid json) - Implement basic ML/DL Models - Data Analysis: This will require proficiency in Python and a good grasp of statistical analysis. - Data Visualization: Skills in data visualization will be essential to represent results clearly. Please only apply if you hold proficiency in Python programming and have intermediate experience in Google Colab. Familiarity with machine learning techniques and an ability to effectively visualize data is also desirable.

You need to select a subset of data with 100-150 Company related facts from Knowledgenet. Use Facts triplet with these relations (DATE_FOUNDED (ORG–DATE), HEADQUARTERS (ORG–LOC), SUBSIDIARY_OF (ORG–ORG), FOUNDED_BY (ORG–PER), CEO (ORG–PER) for creating the knowledge...Company related facts from Knowledgenet. Use Facts triplet with these relations (DATE_FOUNDED (ORG–DATE), HEADQUARTERS (ORG–LOC), SUBSIDIARY_OF (ORG–ORG), FOUNDED_BY (ORG–PER), CEO (ORG–PER) for creating the knowledge base. Reference Dataset Links: use inside the dataset as your source of data. Deliverables: * Complete code that can run on Google Colab * Report of the process which you have followed to build & train * Report 15 - sample conversation ...

We require an experienced programmer to answer these questions using Google colab and then a meeting through Google meet, we are programmers and we would make the code, it is just advice and audit of a chat bot that we developed with AI but we are having some problems. Hi nice to meet you. I would like to know if you have experience in: 1) developing agents in puthon without using langchain, 2) what developments you have done with llms and huggingface 3) if you have done any development to generate business intelligence by consulting a db and using a huggingface model 4) Do you have experience optimizing Google Colab servers with Nvidia cards?

I am seeking a proficient data analyst familiar with Jupyter or Google Colab. The key tasks include data loading, exploratory analysis, handling missing data, and clever visualization techniques. The dataset size is large with more than 10,000 records. Ideal Skills and Experience: - Proficiency in using Jupyter or Colab - Experience in various data loading techniques - Strong ability to perform exploratory analysis - Expertise in handling missing data - Mastery in developing insightful visualizations - Knowledge of diverse data types (just in case we venture into textual or image data) - Ability to identify patterns, make predictions and support data-led decision making My ideal candidate has done similar work before with a large dataset. Please provide your previous expe...

Project Description: We are seeking a skilled developer to assist in deploying and testing a Python script on Google Colab that automates the translation of text files from English to Chinese. The script will need to handle multiple text files organized within different folders, translating each file's contents and saving the translated versions in corresponding folders while maintaining the original directory structure. Key Project Requirements: Script Development: Develop a Python script that can: Upload multiple English text files (.txt format) organized in different folders to Google Colab. Translate the content of each text file from English to Chinese using the OpenAI API. Save the translated text files in their corresponding folders with the same directory str...

As a Python specialist, your mission involves enhancing an existing Llama2 program to operate on Excel files within Google Colab. This project requires just a few hours of work, and a bit of the code is already completed. Key Tasks: - Implement Llama2 for data cleaning operations. Specifically, your role will include: - Applying given formulas to data - Sorting and filtering data according to set parameters Skills and Experience: - Proficient in Python programming language - Familiar with Llama2 - Experience working with Excel file manipulation in Google Colab is advantageous.

...me and build up my skills. Your expertise should include but not limited to: * Python programming (v3.6+). * Usage and practical knowledge of Google Colab and Jupyter notebooks. * Application of data processing and visualization tools such as Pandas, Matplotlib, and SciKit-Learn. These elements form the core of my learning goals. Having a hands-on understanding of these areas is important for the task at hand. Experience in imparting knowledge or tutoring is much appreciated, as your role would be significantly educational. Deliverables: Google Colab and Jupyter Notebooks: Familiarity with signing up for, accessing, and using Google Colab to open and work with Jupyter notebooks. Python Programming: Proficiency in Python (version 3.6 or above) for data manipulati...

I do not reply english messages, these project is for brazilian only. Tenho um perfil de comedia (@chicomediante), não tem nem 1000 seguidores, tenho alguns shows para marcar. Preciso de um social media para: - Postar em colab marcando local e outros comediantes (não precisa fazer arte) - Eventualmente impulsionar posts - Responder eventualmente comentários nos posts e mensagens, informando sobre os shows e passando meu whatsapp em casos extremos Contratação por demanda, dia que precisar fazer a publicação, contrato 1 hora de serviço mas com certeza pode ser feito em poucos minutos neste momento que o instagram está com poucos seguidores, caso este número aumente, muitos comentários e mensagens, conversa...

...Additive exPlanations) analysis on a unique dataset. My project revolves around audio data, specifically speech recordings, and I require insightful explanations behind model predictions. **Ideal Skills and Experience:** - Proficiency in Python - Experience with Google Colab - Knowledge in audio data processing - Familiarity with SHAP library or similar interpretability frameworks - Background in data science, especially with a focus on audio analysis **Project Requirements:** 1. Develop a Python code to run in Google Colab. 2. The code should be capable of applying SHAP analysis to audio data, emphasizing speech recordings. 3. Provide a clear explanation of the model's predictions, highlighting the importance of features in the context of speech recordings. 4. Expe...

I would like a Python script to run on Colab that retrieves: 1. Information about games from the following leagues: England (Premier League, Championship), France (Ligue 1, Ligue 2), Germany (Bundesliga, Bundesliga 2), Italy (Serie A, Serie B), Spain (La Liga, La Liga 2). 2. The information needed is for the past season (2022-2023) and the current season (2023-2024), as well as games scheduled for today and tomorrow. 3. The dataframe should contain the following columns: season, date, country, league, home_team, away_team, home_goals (FT), away_goals (FT), home_goals (HT), away_goals (HT), home_odds, draw_odds, away_odds (FT and HT), odds_O0.5, odds_U0.5, odds_O1.5, odds_U1.5, odds_O2.5, odds_U2.5 (FT and HT), BTTS (FT and HT), AH (FT and HT). 4. Odds from Bookmakers (Pinnacle, Betf...

The task? To extract and clean the PyPortfolioOpt library. You've got to remove classes and distill the features in question to simple, functions – using only Python and numpy. However, cvxpy can remain throughout the process. What to deliver: A colab notebook prooving how you code (as short as possible) results in the same answer as the following code: ef = EfficientFrontier(Means, Cov_Matrix, weight_bounds=(0, 0.1)) weights = ef.max_sharpe() source codes:

Tengo un dataset con imágenes que esta dividido en dos carpetas. images: imágenes de la hojas de arroz en formato jpg, JPG, jpeg. labels: achivos .txt con etiquetas de las enfermedades de hojas de arroz. Deseo desarrollar un código para google colab de tal manera que implemente faster-RCNN, incluye todas las etapas del código, y mostrar los resultados del entrenamiento precisión, recall, f1 score.

I am looking for someone who can build me machine learning model where user will give image input and that image have to be changed. I am attaching two referal links below check it out and if you know you can help me then let me know. https://colab.research.google.com/github/styler00dollar/Colab-dreampower/blob/master/Colab-Dream.ipynb#scrollTo=keg_yW18PEOd (PepeNude%2C_DreamTime)

I need you to choose any two distinct objects of your choice Collect at least ten photos of each object The classifier would go over each image and draw a frame around the object present in the image and then write the correct label on it It would do this for all of the collected photos Check the attached photo, I just want the collected images to ha...Collect at least ten photos of each object The classifier would go over each image and draw a frame around the object present in the image and then write the correct label on it It would do this for all of the collected photos Check the attached photo, I just want the collected images to have only one unique object in it and draw single frame and label it The python code should be in google colab I do not want somethin...

I'm looking for an expert to Add a specific code of ROC and AUC using Python (Pytorch) in Google Colab. My code is a multiclass classification for the histological images. The output must be structured into a comprehensive report print the plot of ROC and AUC for each class and the macro average then save it directly. **Requirements:** - Add the specific code of ROC and AUC ''I will send this code'' and run it in my code - Print the results of ROC and AUC with the class name, must include the percentages and plot for each class and the ''macro'' average for all classes - Save the results in the google drive directly **Ideal Freelancer:** - Proven Python & PyTorch expertise - Good understanding of data privacy for medical data T...

...diffusion model re-training. I have a job that involves updating a colab script, the end goal being to re-train a stable diffusion model with faces from different folders. The folder name needs to be the image instance name so that we can call it in the text prompt of Automatic1111. The checkpoint needs to be saved as safetensor. Ideal candidates should have: - Experience with collab scripts - Understanding of handling stable diffusion models - Proficiency in Python - Having Automatic1111 installed and use it. Your main deliverable will be a fully functioning colab script. If you have worked on similar projects before and have a deep understanding of how stable diffusion re-training work, then you are the person I am looking for. Colab Script:

I am looking to have a state-of-the-art science website designed. The platform should be equipped with a number of advanced features, specifically: 1. AI Integration: The website needs to integrate with following AI tools: - ChatGPT - Bard - Google Colab 2. YouTube Integration: I want to utilize the YouTube feature on my Science website for curating educational science content, in addition to the previously mentioned AI integrations. 3. Query Generation: I want a feature that will allow users to generate queries. This should be based on user input to provide a personalized and interactive user experience. Freelancers with a background in web development, AI integration, and a keen eye for user experience are ideal. Previous experience in educational and/or science...

I'm seeking an expert in Python and machine learning, particularly familiar with stable diffusion models. The task is to move a stable diffusion colab script to a local Python execution environment in windows. The script’s main function is for training a machine learning model. Ideal candidates should have: - Proficiency in Python - Understanding of handling stable diffusion models - Experience with collab scripts Your main deliverable will be a fully functioning Python script that can be run locally, paralleling the functionalities of the original collab script. Colab Script: Video Guide on how to use this script: You must have a GPU

I'm seeking a developer to build a specialized web panel solely for administrators that streamlines the process of uploading audio files and generating trained voice models . And saved so next time from list it will be used for later to create audio files from text. Key ...these audio inputs. - Secure administrator-only access controls. - Scalability for potential future enhancements. Ideal qualifications: - Proficient in web development frameworks suitable for this task. - Experience with machine learning libraries or APIs, specifically for voice generation or related tasks. - Strong understanding of audio file manipulation and storage. - Familiarity with Google Colab or similar collaborative platforms. Quick and reliable performance, with a clean and user-friendly design...

1. Develop a system that can read and understand handwritten text using Python and OpenCV. Use the provided GitHub link to download...provided GitHub link to download the dataset of handwritten text. Dataset: Submit the Google Colab link Your answer Handwritten Text Analyzer Accuracy Your answer 2. Develop a system that can recognize and classify human emotions based on facial expressions using Python and OpenCV. Use the provided GitHub link to download the dataset of Facial Emotion. Dataset: Submit the Google Colab link Your answer Facial Emotion Recognition Accuracy Your answer

Machine Learning Course Creation (Good Quality Video content) Specific areas to be covered within the course include: - Goggle colab skills, Good video content making skills. - ML Libraries(Numpy, Pandas, Matplotlib...) - Data Preprocessing techniques - Supervised Algorithms(5) - Unsupervised Algorithms(5) Our prospects will primarily be Python users, hence we'd appreciate an instructor who's proficient in this programming language. The candidate must have previous experience creating educational content and should be able to present complex concepts in an easy-to-understand manner to foster effective learning.