Srinivasaragavan Vijayaraghavan's repositories
US-Boom-Bikes--A-Machine-learning-Case-Study
You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good way for management to understand the demand dynamics of a new market.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Applied-ML-from-1st-principles
Companion Repo for the book The Applied ML Field Manual, Prithiviraj Damodaran
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Credit-Risk-Exploratory-Data-Analysis-Case-Study
This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc
daily-coding-problem-1
Solutions for Daily Coding Problem.
data-science-blogs
A curated list of data science blogs
data-science-from-scratch
code for Data Science From Scratch book
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.
DeepLearningPython35
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
fastbook
The fastai book, published as Jupyter Notebooks
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
IMDB_Movie_Analysis
IMDB_MOVIE_ANALYSIS - A Beginner Case study to Data Science
Lead-Scoring-X-Education
X Education Company Lead Scoring Case Study
Learning-Tableau-2020
Learning Tableau 2020, published by Packt
ML-Self-Starter-Pack
Resources for Self Studying ML
mlcourse.ai
Open Machine Learning Course
My-Resume
This is not a Repo. It is my Resumé
Python_Boot_camp
Python Boot Camp Complete Material Udemy
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.