Pinned Repositories
a2oj-codeforces-div2c-ladder-solutions
a2oj-codeforces-div2d-ladder-solutions
a2ojladderssolutionscodeforces
AI-Assistant-for-ubuntu
cloud-virtual-orchestration-layer-phase-1
CloudProject
codeforces_contests
My-Uva-solutions-
solved solutions of Uva online judge
VideoEditor
web-scrapers-using-python
some of the basic and good web scrapers
atyamsriharsha's Repositories
atyamsriharsha/a2oj-codeforces-div2d-ladder-solutions
atyamsriharsha/a2ojladderssolutionscodeforces
atyamsriharsha/AI-Assistant-for-ubuntu
atyamsriharsha/CloudProject
atyamsriharsha/VideoEditor
atyamsriharsha/Aspect-Based-Sentimental-Analysis
atyamsriharsha/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
atyamsriharsha/awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
atyamsriharsha/bash-it
A community Bash framework.
atyamsriharsha/dask
Parallel computing with task scheduling
atyamsriharsha/dask-ml
Scalable Machine Learn with Dask
atyamsriharsha/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.
atyamsriharsha/Data-Scientist-Resume-LaTeX
A LaTeX resume template, tailored for the recent graduate who aspires to be a Data Scientist.
atyamsriharsha/dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
atyamsriharsha/final_project
atyamsriharsha/FinalSite
atyamsriharsha/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.
atyamsriharsha/go
The Open Source Data Science Masters
atyamsriharsha/Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
atyamsriharsha/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
atyamsriharsha/modern-nlp-in-python
atyamsriharsha/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
atyamsriharsha/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
atyamsriharsha/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si
atyamsriharsha/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
atyamsriharsha/Quiz
atyamsriharsha/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
atyamsriharsha/scikit-learn
scikit-learn: machine learning in Python
atyamsriharsha/Skater
Python Library for Model Interpretation/Explanations
atyamsriharsha/TimeSeriesAnalysis
Code for the Intermediate Analytics Project