AI-Champ

This repository will be maintained as per my progress in Code Vector's AI Champ Program

Week 2

• Scrape books.toscrape.com and save data to csv using pandas.
• Practice Numpy, Pandas
• Read basic machine learning books and articles, and make a glossary of terms.
• Participate in Kaggle competitions, read available notebooks

Week 3

• Beginner - Predict median housing price in any district, given all other metrics. Use https://github.com/ageron/handson-ml2/tree/master/datasets/housing
• Master - https://www.kaggle.com/hojjatk/mnist-dataset

Week 4

• Create AND, OR, NOT gate using perceptron. Why can’t we create for XOR?
• CIFAR-10 Task with CNN
• Do CIFAR with Transfer Learning - Use architecture of your choice.
• Cat-Dog Classification - Use https://www.kaggle.com/c/dogs-vs-cats/data as your Test data. Don’t use it for training. For the training data - you should gather the data from other sources - such as google images, bing images.
• Draw Confusion Matrix for the above task and, calculate Precision, Recall, Accuracy, Sensitivity, Specificity, True Positive Rate, False Positive Rate.
• Contribute to open source - Hacktoberfest - Get free t shirt!