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

📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, 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.

100-days-of-algorithms

100 days of algorithms

100-days-of-ml-code

100 Days of ML Coding

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

1000-ai-collection-tools

More than 1000 Artificial Intelligence AI-powered tools - categorized & updated

100daysofml

This Repository provides resources for the 100 Days of ML initiative.

100daysofmlcode

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

21-days-of-machine-learning

26-weeks-of-data-science

Email Newsletter

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

3d-machine-learning

A resource repository for 3D machine learning

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

a-week-in-wild-ai

360 view on ai/ml/dl applications

aai-ml

Applied AI Course classroomworks

adv-r

Advanced R: a book

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-machine-learning-and-signal-processing-ibm

Advanced Machine Learning and Signal Processing IBM

afml

Code implementations of my studies on the book Advances in Financial Machine Learning

age-and-gender-recognition-and-face-detection

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai-links

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

aind-sudoku

Udacity Artificial Intelligence Nanodegree

airfare_prediction_and_classification

A machine learning exercise presenting a simple model for (1) prediction of airfares from the data contained in the search query using linear support vector regression implementation sklearn.SVM.LinearSVR and (2) classification of flight itinerary search results by likelihood the returned fare will ultimately be purchased by the consumer, using simple Naive Bayes implementation in sklearn.

airgesture

Play games without touching keyboard

alchemyapi-twitter-python

A simple example application that will connect to the Twitter API, run a search, gather tweets, and then calculate the sentiment of each Tweet using AlchemyAPI's text analysis functions for entity extraction and sentiment analysis.