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clustering_algorithms_from_scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

coding-interview-questions

🔴 More than ~3877 Full Stack, Coding & System Design Interview Questions And Answers sourced from all around the Internet to help you to prepare for an interview, conduct one, mock your lead dev or completely ignore. Find more questions and answers on 👉

crop-weed-detection

data--visualization

data-science-projects

Collection of data science projects in 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

dsa-problems

500+ Data Structures and Algorithms practice problems

fer-webapp

Web application to demostrate the work of the fer-pytorch package, built on FER+ dataset: https://github.com/Emilien-mipt/fer-pytorch

image-analysis

machin-learning-in-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

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.

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

msd

multimodal-emotion-recognition

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

multimodal-sentiment-analysis

my-sql

nlp

Natural Language Processing Tutorial for Deep Learning Researchers

nyc-taxi-trip-duration

Exploratory Data Analysis on NYC Taxi Trip Duration Dataset

pandas

Jupyter Notebooks and Data Sets for Pandas Library

pavan-kumar-portfolio

perfect-roadmap-to-learn-data-science-in-2024

placementpreparation

This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.

project

python

python-basics

python_computer_vision_from_scratch

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.

pythonn

Data Science Respositories