SkalskiP / Machine_Learning_A-Z
Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.
☆63Updated 7 years ago
Alternatives and similar repositories for Machine_Learning_A-Z:
Users that are interested in Machine_Learning_A-Z are comparing it to the libraries listed below
- This repository contains all my small projects related with Data Science and Machine Learning.☆45Updated 2 years ago
- This is the code for "Backpropagation Explained" By Siraj Raval on Youtube☆36Updated 6 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- My personal repository of notes served through Github pages at http://www.ritchieng.com/☆69Updated 2 months ago
- This computer vision workshop is based on the work detecting complex policies in the following [real life code story](https://www.microso…☆39Updated 4 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- Implement your own deep learning models from scratch with Tensorflow 2.0☆32Updated 4 years ago
- ☆56Updated 5 years ago
- TensorFlow Deep Learning Projects, published by Packt☆45Updated 2 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆92Updated 2 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆50Updated 7 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆86Updated 7 years ago
- Slides, code and resources for model interpretation methods in machine learning and deep learning☆32Updated 5 years ago
- ☆38Updated 5 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- ☆15Updated 5 years ago
- Hands-on examples showcasing popular NLP applications☆19Updated 5 years ago
- 100days of ml code☆21Updated 2 years ago
- Google Colab Tutorial☆62Updated 6 years ago
- Kaggler TV☆54Updated 5 years ago
- TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)☆37Updated 6 years ago
- Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets☆20Updated 2 weeks ago
- Demo project to show how Machine Learn Models are deployed on production using Flask API☆30Updated 6 years ago
- ☆21Updated 5 years ago
- My Attempt(s) In The World Of ML/DL....☆94Updated 10 months ago
- Machine learning algorithms☆112Updated 6 years ago
- DataCamp Projects☆17Updated 5 years ago