dipanjanS / practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
☆2,291Updated 9 months ago
Alternatives and similar repositories for practical-machine-learning-with-python:
Users that are interested in practical-machine-learning-with-python are comparing it to the libraries listed below
- An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…☆1,151Updated last year
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,144Updated last year
- Jupyter notebooks from the scikit-learn video series☆3,689Updated 10 months ago
- Data Science Notebook on a Classification Task, using sklearn and Tensorflow.☆693Updated 3 years ago
- Materials for my scikit-learn tutorial☆1,775Updated last year
- Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! Thi…☆1,661Updated 4 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆901Updated 2 years ago
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆801Updated 4 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆672Updated 2 years ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,442Updated 4 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,276Updated 2 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆653Updated 4 years ago
- Python code for common Machine Learning Algorithms☆4,375Updated 10 months ago
- For extensive instructor led learning☆1,806Updated 2 years ago
- Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"☆1,143Updated 2 years ago
- Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more☆2,755Updated 9 months ago
- Implementing machine learning algorithms from scratch.☆381Updated 3 years ago
- Answers to 120 commonly asked data science interview questions.☆3,749Updated 11 months ago
- Data Science Using Python☆5,246Updated last year
- Machine Learning Experiments and Work☆632Updated last year
- 50 scikit-learn tips☆1,724Updated 2 years ago
- An NLP workshop about concrete solutions to real problems☆1,081Updated 4 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,332Updated last month
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,790Updated 4 years ago
- CatBoost tutorials repository☆1,047Updated 2 months ago
- Statistical Data Analysis in Python☆1,594Updated 9 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆599Updated 3 years ago
- Carefully curated resource links for data science in one place☆2,976Updated 5 months ago
- My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano☆1,192Updated 3 years ago