| BASIC | | |
| 1 | Sentiment Analysis | <ol><li> Amazon reviews dataset </li><li>Amazon reviews dataset</li><li>Twitter Sentiment analysis - Medium</li><li>Twitter Sentiment analysis - analytics vidhya</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li><li>☐</li></ol> |
| 2 | Fake News detection | Detecting Fake News | ☐ |
| 3 | Detecting Parkinsons's Disease | <ol><li>Disease detection using XGBoost</li><li>pyimagesearch - Detecting Parkinsons's Disease</li> | <ol><li>☐</li><li>☐</li></ol> |
| 4 | Color Detection | OpenCV Project | ☐ |
| 5 | Iris Data Set - Predict the class of the flower | many - analytics vidhya | ☑ |
| 6 | Loan Prediction - Predict if a loan will get approved or not. | many - analytics vidhya | ☐ |
| 7 | BigMart Sales Dataset - Predict the sales of a store. | many - analytics vidhya | ☐ |
| 8 | House Price Regression | kaggle | ☑ |
| 9 | Wine quality - Predict the quality of the wine. | Kaggle kernel | ☐ |
| 10 | Heights and Weights Dataset - Predict the height or weight of a person | Study of height versus weight | ☐ |
| 11 | Email Classification | youtube | ☐ |
| 12 | Titanic dataset | <ol><li>Comprehensive data exploration with Python- Kaggle</li><li>Titanic Data Science Solutions - Kaggle</li><li>Data ScienceTutorial for Beginners - Kaggle</li><li>Introduction to Ensembling/Stacking in Python - Kaggle</li><li>A Data Science Framework: To Achieve 99% Accuracy - Kaggle</li><li>Stacked Regressions : Top 4% on LeaderBoard - Kaggle</li><li>An Interactive Data Science Tutorial - Kaggle</li><li>EDA To Prediction(DieTanic) - Kaggle</li><li>Titanic: Machine Learning from Disaster - Kaggle</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li></ol> |
| Intermediate | | |
| 1 | Speech Emotion Recognition | Speech Emotion Recognition with librosa | ☐ |
| 2 | Gender and Age Detection | <ol><li>pyimagesearch - Age Detection with deep learning</li><li>learnopencv - Gender & Age Classification using OpenCV Deep Learning</li><li>DataFlair - Gender and Age Detection with OpenCV</li><li>analytics vidhya - Age Detection</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li></ol> |
| 3 | Driver Drowsiness detection | <ol></li><li>Real-time facial landmark detection</li><li>Eye blink detection</li><li>Drowsiness detection with OpenCV<li>DataFlair - System with OpenCV & Keras</li></li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li></li><li>☐</li> </ol> |
| 4 | Basic Chatbot | chatbot using NLTK & Keras | ☐ |
| 5 | Handwritten Digit Recognition | <ol><li>Handwritten Digit Recognition</li><li>kaggle - Digit Recognition-Tutorial (CNN)</li></ol> | <ol><li>☐</li><li>☐</li></ol> |
| 6 | Black Friday Dataset - Predict purchase amount. | github | ☐ |
| 7 | Trip History Dataset - Predict the class of user. | analytics vidhya | ☐ |
| 8 | Song recommendation | <ol><li>Medium - Simple song recommender system</li><li>Medium - A Simple Song Recommender System in Python</li><li>analytics vidhya - Guide to song recommendation system</li><li>Youtube - Building Recommender Systems Using Python</li><li>Youtube - Music Search and Recommendation from Millions of Songs</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li></ol> |
| 9 | Handwritten Text Recognition | Build a Handwritten Text Recognition System using TensorFlow | ☐ |
| 10 | Sentiment analysis - IMDB movie review dataset | tensorflow | ☐ |
| 11 | Text generation - Shakespeare | tensorflow | ☐ |
| 12 | Sign language MNIST classification | <ol><li>kaggle - Deep learning using sign langugage</li><li>kaggle - CNN using Keras</li></ol> | <ol><li>☐</li><li>☐</li></ol> |
| Advanced | | |
| 1 | Image Captioning | Image Captioning with visual Attention | ☑ |
| 2 | Credit Card Fraud Detection | <ol><li>geeksforgeeks - Credit Card Fraud Detection</li><li>Kaggel kernels</li><li>Google search results</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li></ol> |
| 3 | Recommendation System | <ol><li>Recommendation Systems</li><li>RECOMMENDATION SYSTEM</li><li>Medium - Movie recommendation</li><li>kaggel - Movies Recommender System</li><li>Quick Guide to Build a Recommendation Engine in Python & R</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li></ol> |
| 4 | Customer Segmentation | <ol><li>Customer Segmentation by RFM clustering</li><li>kaggle - Customer Segmentation</li><li>Customer Segmentation by KMeans</li><li>KDnuggets - Beginner’s Guide to Customer Segmentation</li><li>KDnuggets - Customer Segmentation Using K Means Clustering</li><li>Customer Segmentation: A Technical Guide</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li><li>☐</li></ol> |
| 5 | Breast Cancer Classification | <ol><li>pyimagesearch - Breast cancer classification with Keras and Deep Learning</li><li>Dataflair - Breast Cancer Classification</li></ol> | <ol><li>☐</li><li>☐</li></ol> |
| 6 | Traffic Signs Recognition | pyimagesearch - Traffic Sign Classification with Keras and Deep Learning | ☑ |
| 7 | Urban Sound Classification | Audio Data Analysis using Deep Learning | ☐ |
| 8 | Human Activity Recognition | <ol><li>MLM - Deep Learning Models for Human Activity Recognition</li><li>Human Activity Recognition with OpenCV and Deep Learning</ol> | <ol><li>☐</li><li>☐</li></ol> |
| 9 | Covid-19 | <ol><li>pyimagesearch - Covid-19 in X-ray images</li><li>pyimagesearch - Mask detection</li><li>rubiks-code Detection of COVID-19 in chest X-Rays with Deep Learning</li></ol> | <ol><li>☐</li><li>☐</li><li>☐</li></ol> |
| 10 | Video classification | pyimagesearch | ☐ |
| 11 | Fire and smoke detection | pyimagesearch | ☐ |
| 12 | Detecting Natural Disasters | pyimagesearch | ☐ |
| 13 | Anonymizing faces | pyimagesearch | ☐ |
| 14 | Text Summarization | list of links | ☐ |
| 15 | Deep Dream and Style Transfer | list of links | ☐ |