Yamana Pavan Kumar's repositories
Clustering_Algorithms_from_Scratch
Implementing Clustering Algorithms from scratch in MATLAB and Python
Data-Sciennce-Cheatsheets
List of Data Science Cheatsheets to rule the world
Deep_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
fer-webapp
Web application to demostrate the work of the fer-pytorch package, built on FER+ dataset: https://github.com/Emilien-mipt/fer-pytorch
Machin-Learning-In-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
NYC-Taxi-Trip-Duration
Exploratory Data Analysis on NYC Taxi Trip Duration Dataset
Python
Python+DS+CP
Machine_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
PANDAS
Jupyter Notebooks and Data Sets for Pandas Library
PlacementPreparation
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
Python_Natural_Language_Processing
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
Pythonn
Data Science Respositories
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.