Shanmugasundaram M's repositories
AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
applied-ml
📚 Papers by organizations sharing their work on applied data science & machine learning.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-semantic-web
A curated list of various semantic web and linked data resources.
code_summarization_public
source code for 'Improving automatic source code summarization via deep reinforcement learning'
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
credit_card_clustering
[Project repo] Customer Segmentation for Marketing Strategy
data-science
:bar_chart: Path to a free self-taught education in Data Science!
Data-science-best-resources
Carefully curated resource links for data science in one place
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.
Data-Science-Portfolio
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
go
The Open Source Data Science Masters
knowledge-graphs
A collection of research on knowledge graphs
Linear-Algebra-Basics-for-DL
This is the collection of all math repositories to sharpen your math skill for the data science
Linear-Regression-Problem
You are hired by a company Gem Stones co ltd, which is a cubic zirconia manufacturer. You are provided with the dataset containing the prices and other attributes of almost 27,000 cubic zirconia (which is an inexpensive diamond alternative with many of the same qualities as a diamond). The company is earning different profits on different prize slots. You have to help the company in predicting the price for the stone on the bases of the details given in the dataset so it can distinguish between higher profitable stones and lower profitable stones so as to have better profit share. Also, provide them with the best 5 attributes that are most important.
Logistic-Regression-and-LDA
You are hired by a tour and travel agency which deals in selling holiday packages. You are provided details of 872 employees of a company. Among these employees, some opted for the package and some didn't. You have to help the company in predicting whether an employee will opt for the package or not on the basis of the information given in the data set. Also, find out the important factors on the basis of which the company will focus on particular employees to sell their packages.
Machine-Learning-1
A Repository to give you a kick start in the field of Artificial Intelligence from basics to advanced topics
Machine-Learning-Resources
This cover everything you need to know if you want to learn Machine Learning from basics to advance. It covers how to do exploratory data analysis over datasets, build machine learning models, evaluate their performance and deploy them.
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 .
Segmentation
Segmentation (Clustering) of credit card customers
spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
system_design
Preparation links and resources for system design questions
Tableau_CarInsuranceAnalysis
"Today many big organizations are sitting on large chunks of data, not knowing what to do with it. They invite consultants & business analysts to have a look at data and come up with insights that could help the organization run their business better. There is no clear set of instructions in such open-ended problems and it is expected of the consultant to do a lot of exploration first and formulate the problems themselves. These DVT projects fall into the bucket of such open-ended problems and a specific problem statement has not been given intentionally. It is expected of students to explore the data and come up with good insights. There is no right and wrong answer here. There should a clear logical story which should come out of their submission."
Time-Series-Forecast
The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.
TopDeepLearning
A list of popular github projects related to deep learning
Unsupervised-Learning-Clustering
A leading bank wants to develop a customer segmentation to give promotional offers to its customers. They collected a sample that summarizes the activities of users during the past few months. You are given the task to identify the segments based on credit card usage.