Sriharsha Atyam's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-Scientist-Resume-LaTeX
A LaTeX resume template, tailored for the recent graduate who aspires to be a Data Scientist.
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Fundamentals-of-Scalable-Data-Science
This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scikit-learn
scikit-learn: machine learning in Python
TimeSeriesAnalysis
Code for the Intermediate Analytics Project