harshildarji / Machine-Learning

Machine Learning Practise

Machine Learning Practise

• ETL Machine Learning Deployment
  • Docker
    • Sentiment analysis
    • Breast cancer
  • Heroku
• Transformers
  • BERT
    • Word fill using BERT
    • Named Entity Recognition with BERT
    • German NER on Legal Data using BERT
  • PyTorch transformers from scratch
  • EsperBERTo
• IMDB Sentiment Classification using TF-IDF
  • Sentiment Analysis
• Digit Recognizer - Kaggle competition
  • Digit Recognizer
• Face recognition
  • from Photo
  • from Camera feed
  • from Video
• PyTorch
  • Building a Neural Network from scratch
  • RNN from scratch
  • RNN - 1 Hidden layer
  • RNN - 2 Hidden layer
  • TorchScript
    • Intro
• TF 1 Tutorials
  • Train your first neural network: basic classification
  • Text classification with movie reviews
  • Regression: predict fuel efficiency
  • Explore overfitting and underfitting
  • Save and restore models
  • Introduction to CNNs
  • Intro to word embeddings
  • Image classification
  • TensorFlow Hub with Keras
• TF 2 Tutorials
  • Image segmentation
  • Text classification with an RNN
  • Premade Estimators
  • Build a linear model with Estimators
  • Boosted Trees
  • Univariate Time series forecasting using RNN
  • Text generation with an RNN
• Time Series Analysis and Forecasting
  • Time Series Forecasting with ARIMA
  • Time Series Forecasting with Prophet
  • Apple Stock Price Predictions using FB Prophet
  • Bitcoin Price Predictions using FB Prophet
• Web Apps
  • Beginner - Multiple datasets and clfs
• Miscellaneous
  • Hyperparameter Tuning
  • Reuters - OneVsRestClassifier
  • Model Comparison
  • Linear Regression
  • Tensorflow MNIST
  • Neural Network from scratch
  • Single Perceptron Example
  • Gensim Word2Vec Example
  • Learning Rate Schedules and Adaptive Learning Rate Methods for Deep Learning
  • Anomaly Detection for Dummies
  • Text generation using RNN trained on tweets