nareshk31's Stars
jerry-git/learn-python3
Jupyter notebooks for teaching/learning Python 3
tanvirrazin/Machine-Learning-A-Z-Udemy
All the codes in Python and R for the course Machine Learning A-Z on Udemy
twitter/AnomalyDetection
Anomaly Detection with R
tayllan/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
donnemartin/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.
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
stanfordnlp/CoreNLP
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
pkmital/tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
Yorko/mlcourse.ai
Open Machine Learning Course
iAyon/100DaysOfMLCode
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
asadoughi/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
stedy/Machine-Learning-with-R-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
datacamp/courses-introduction-to-python
Introduction to Python by Filip Schouwenaars
datacamp/courses-introduction-to-r
Introduction to R by Jonathan Cornelissen
jayinai/kaggle-classification
A compiled list of kaggle competitions and their winning solutions for classification problems.
jayinai/ml-interview
Preparing for machine learning interviews
jayinai/data-science-question-answer
A repo for data science related questions and answers
jayinai/kaggle-regression
A compiled list of kaggle competitions and their winning solutions for regression problems.
jayinai/ml-cheatsheet
A constantly updated python machine learning cheatsheet
jayinai/how-to-kaggle
A research into the workflow for Kaggle competition (and data science in general) collaboratively
r0oth3x49/udemy-dl
A cross-platform python based utility to download courses from udemy for personal offline use.
ChristosChristofidis/awesome-courses
List of awesome university courses for learning Computer Science!
ChristosChristofidis/awesome-public-datasets
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
niderhoff/nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
llSourcell/How-to-Predict-Stock-Prices-Easily-Demo
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube