Machine-Learning
Machine Learning Practise
View the Project on GitHub
harshildarji/Machine-Learning
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