Introduction to Data Science

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Resources for weekly Data Science Lunch & Learns

I will update this repository to learn Machine learning with python with statistics content and materials

📢 Ready to learn or review your knowledge!

Learn advanced data science on real-life, curated problems

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

🍧 A repository that contains courses I have taken on DataCamp

model-describer : Making machine learning interpretable to humans

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

R package to interface with OpenML

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Create HTML profiling reports from pandas DataFrame objects

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

PyMC3 educational resources

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Python tools for data analysis

A repo with tutorials for algorithms from scratch

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster