kamesh-k Goto Github PK
Name: Kamesh K
Type: User
Company: IIT Madras
Bio: Interests - {High Performance Computing, Computational Material Science, Machine Learning, Economics, Finance, Leadership, Data Analytics}
Location: Chennai
Name: Kamesh K
Type: User
Company: IIT Madras
Bio: Interests - {High Performance Computing, Computational Material Science, Machine Learning, Economics, Finance, Leadership, Data Analytics}
Location: Chennai
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Dataset along with the code for the AbinBev BotAThon will be added over here
A term paper as a part of the course Applied Economics offered in the Jul-Nov 2018
Codes for the project as a part of the Mathematical foundations for datascience are added here.
Will be adding the codes for competitive programming problems which I am solving in my free time over here.
Scripts of Computational labs are added here
Cheat Sheets
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.
The repository consists of the codes written as a part of the Data Structures and Algorithms course offered at IIT Madras during JUL-NOV 2019.
Code to perform Robust PCA to seperate the background and foreground in a given video clipping.
A genetic algorithm-based truss topology optimization solver programmed in MATLAB
Jupyter Notebooks used for the Gartner HackElite hackathon are added here. Along with the notebooks, the train and test data are added as well.
Hobby Project - A python based program to digitize images of graphs and provide the data as well as the suitable python code to plot the graph as well.
This repository consists of classwork and homework of the course High-Performance Computing offered at IIT Madras.
LeetCode Problems' Solutions
Code for Machine Learning for Algorithmic Trading, 2nd edition.
The repository consists of codes in python for various machine learning models from the package Sci-Kit Learn.
Codes of the HPC Project are added here.
The repository consists of the codes written as a part of the Numerical Methods course offered at IIT Madras during JUL-NOV 2019.
Numpy exercises. Thanks @Kyubyong! This would be an amazing set of exercises for our freshers to learn from!
OpenMP practice and study codes will be added here.
Visualization of vanilla options and exotics. BS Model for a vanilla option is used to describe the pay-off option.
OpenCL integration for Python, plus shiny features
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