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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algo_10june

Mentor Deepak Aggarwal

algo_ds_notes

It is a repository that is a collection of algorithms and data structures with implementation in various languages.

awesome-deep-learning

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

chatbot-tensorflow

coala

coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

codechef-programs

coding

Interview Preparation

concise-interview-prep

Preperation repository with concise resources for modern day requirements of Software Engineering Interviews. Specific Details to Techincal Rounds.

coursera

Data sets and scripts for Coursera Big Data Specialization.

coursera-ml-solutions

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-structure-and-algorithms

deepvisiontool

This gui tool cummilates all the sub-tool features which will do the complete analysis of image as done by sub-tools.

doc2vec-model-for-sentiment-analysis

google-code-jam-2017

My solutions to Google Code Jam 2017 problems

grokking-the-object-oriented-design-interview

machinelearningrandomandgenetic

models

Models and examples built with TensorFlow

movie_recommender

Movie Recommender System for Machine Learning for Hackers #4

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

nlpchatbottool

This tool holds a similar nlp principle of working as used in other tools as base structure. It is a demonstrative tool for language analysis of questions.

optimization-algorithms

programming-in-r-for-data-science

regression_data_modelling

this is a stand alone application for data modelling using techniques like randomForest, LinearModel, NeuralNetworksand DecisionTree.It models your data and finds out the best model for your data.The results are stored in results.txt which will be there when you run 1.py. You will also get an interactive plot comparing all these models

simple-python-pyinstaller-app

For an introductory tutorial on how to use Jenkins to build a simple Python application with PyInstaller.

skin-cancer-recognition

sql

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

tensorflow

Computation using data flow graphs for scalable machine learning