Pinned Repositories
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.
Basic-Mathematics-for-Machine-Learning
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 Learning and other fields of AI
Capstone_Final
This repository is created for the peer of the "Applied Data Science Capstone"
Coursera_Capstone
Coursera IBM Data Science Professional Certificate Final Course First Peer
coursera_w_3_peer
Peer Graded Assignment of the Coursera Applied Data Science Capstone - Week 3
data-science-question-answer
A repo for data science related questions and answers
datasharing
The Leek group guide to data sharing
probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Statistics-for-Machine-Learning
Statistics for Machine Learning, published by Packt
brkcllakyz21's Repositories
brkcllakyz21/Basic-Mathematics-for-Machine-Learning
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 Learning and other fields of AI
brkcllakyz21/Capstone_Final
This repository is created for the peer of the "Applied Data Science Capstone"
brkcllakyz21/data-science-question-answer
A repo for data science related questions and answers
brkcllakyz21/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
brkcllakyz21/10-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.
brkcllakyz21/Coursera_Capstone
Coursera IBM Data Science Professional Certificate Final Course First Peer
brkcllakyz21/coursera_w_3_peer
Peer Graded Assignment of the Coursera Applied Data Science Capstone - Week 3
brkcllakyz21/datasharing
The Leek group guide to data sharing
brkcllakyz21/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
brkcllakyz21/Statistics-for-Machine-Learning
Statistics for Machine Learning, published by Packt
brkcllakyz21/ML101-LinearRegression
Linear Regression Repository for the ML101 Series