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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

analytics-handbook

Getting started with soccer analytics

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-gbms

A curated list of gradient boosting machines (GBM) resources

awesome-gradient-boosting

A curated list of Gradient Boosting resources for Data Scientists

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-data-science

A curated list of Python libraries used for data science.

azure-data-engineering

bar_chart_race

Create animated bar chart races in Python with matplotlib

billy-odera.github.io

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

code_py

A collection of well-commented code snippets for data science

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

course-nlp

A Code-First Introduction to NLP course

credit_scoring_machine_learning

Credit scoring using different machine learning techniques,,,

data-science--cheat-sheet

Cheat Sheets

data-science-blogs

A curated list of data science blogs

data-science-for-marketing-analytics-second-edition

data-science-interviews

Data science interview questions and answers

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-resources

A list of resources to get started in Data Science

data-visualisation-libraries

A Repository consisting of various visualisation libraries and tools

data_science_resources

📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines

datascience-cheatsheets

Collection of cheatsheets📑 for my daily workload 👾

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deeplearning-models

A collection of various deep learning architectures, models, and tips