Shanmugasundaram M's repositories
aipa
AIPA (A.I. Personal Assistant): Speech, Vision, Machine Learning and IoT Based Intelligent Personal Assistant for Ubuntu Based Linux Distributions
awesome-iot
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
bootcamp_machine-learning
Bootcamp to learn basics in Machine Learning
Car-insurance-dataanalysis
Car Insurance Data analysis with the help of tableau
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
data-science-blogs
A curated list of data science blogs
data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Ensemble-Machine-Learning-Cookbook
Ensemble Machine Learning Cookbook, published by Packt
Exploratory_Data_Analysis
Exploratory Data Analysis exercise with various examples
imaginaire
NVIDIA PyTorch GAN library with distributed and mixed precision support
J.A.R.V.I.S
This is my first repository and I have created Jarvis (Just a rather very intelligent system). It is a personal voice assistant which helps me improve my work efficiency while creating any project or doing some other work on laptop
learn-python3
Jupyter notebooks for teaching/learning Python 3
Machine-Learning-1
A Repository to give you a kick start in the field of Artificial Intelligence from basics to advanced topics
Machine-Learning-with-Python
Contains all the basics of Machine Learning. Code in Python
Machine-Learning-with-Python---Basics-and-Algorithms
A 'Machine learning using Python' internship at Foxmula-Y which taught me the basic algorithms of machine learning in supervised and unsupervised learning .
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Predictive_Modeling-Project
This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction. In the first case study, concepts of linear regression are tested and it is expected from the learner to predict the price of gems based on multiple variables to help company maximize profits. In the second case, concepts of logistic regression and linear discriminant analysis are tested. One has to predict if the customer will purchase the holiday package to target the relevant customer base.
PyMLSlides
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
simple-Linear-Regression
Simple Linear implementation with python
Simple-Linear-Regression-1
A simple python program that implements a very basic Linear Regression model
StatsBase.jl
Basic statistics for Julia
Time_Series_Forecasting-Project
For this particular assignment, the data of wine sales in the 20th century is to be analysed. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.