RudraBarik / Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)

Deep Learning for Hackers

• TensorFlow 2 and Keras - Quick Start Guide
• Build your first Neural Network
• Heart Disease Prediction
• Cryptocurrency price prediction using LSTMs
• Practical Guide to Handling Imbalanced Datasets
• Hacker's Guide to Fixing Underfitting and Overfitting Models
• Hacker's Guide to Hyperparameter Tuning
• Deploy a Keras Deep Learning Project to Production with Flask
• Hacker's Guide to Data Preparation for Machine Learning
• Hacker's Guide to Fundamental Machine Learning Algorithms
• Time Series Forecasting with LSTMs
• Time Series Demand Prediction with LSTMs
• Time Series Classification for Human Activity Recognition with LSTMs
• Time Series Anomaly Detection with LSTM Autoencoders
• Object Detection on Custom Dataset
• Image Data Augmentation
• Sentiment Analysis