Pinned Repositories
adv-r
Advanced R programming: a book
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
AskTanmay-NLQA-System-
AskTanmay (codename: TanmayQA) is an open-source NLQA (Natural Language Question-Answering) system, developed by Tanmay Bakshi (TajyMany).
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Car_Evaluation_ML
HR-Analytics
interview
Interview questions
Kmeans
K-means Clustering Algorithm Implantation.
MobilePriceClassification
iabhishekofficial's Repositories
iabhishekofficial/adv-r
Advanced R programming: a book
iabhishekofficial/AskTanmay-NLQA-System-
AskTanmay (codename: TanmayQA) is an open-source NLQA (Natural Language Question-Answering) system, developed by Tanmay Bakshi (TajyMany).
iabhishekofficial/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
iabhishekofficial/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
iabhishekofficial/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
iabhishekofficial/courses
fast.ai Courses
iabhishekofficial/courses-1
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
iabhishekofficial/creditcardfraud
iabhishekofficial/data-science-ipython-notebooks
Continually updated 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.
iabhishekofficial/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
iabhishekofficial/ml-class-assignments
Programming Exercises on http://ml-class.org
iabhishekofficial/ML-From-Scratch
Bare bones Python implementations of some of the fundamental Machine Learning models and algorithms.
iabhishekofficial/MLatImperial2017
Materials for the course of machine learning at Imperial College organized by Yandex SDA
iabhishekofficial/Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
iabhishekofficial/Seeing-Theory
A visual introduction to probability and statistics.
iabhishekofficial/Springboard
Springboard - Data Science Intensive course
iabhishekofficial/awesome-courses
:books: List of awesome university courses for learning Computer Science!
iabhishekofficial/data-2
An index of all open-source data
iabhishekofficial/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
iabhishekofficial/How-to-Predict-Stock-Prices-Easily-Demo
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
iabhishekofficial/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
iabhishekofficial/Kaggle
Codes for Kaggle Competitions
iabhishekofficial/MachineLearning
Basic Machine Learning and Deep Learning
iabhishekofficial/MLAlgorithms
Minimal and clean examples of machine learning algorithms
iabhishekofficial/numpy-100
100 numpy exercises (100% complete)
iabhishekofficial/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
iabhishekofficial/probabilistic-programming-intro
Introduction to probabilistic programming using PyMC3
iabhishekofficial/TfL_bikes
Analysis of bike journeys across London - published on githubpages too
iabhishekofficial/trelliscope
Detailed Visualization of Large Complex Data in R
iabhishekofficial/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)