Discover @deveshSingh06 Open Source projects

Devesh Singh (@deveshSingh06)

deveshSingh06

Stars
31
Global Rank 479,903 (Top 17 %)
Followers 13
Following 17
Registered about 9 years ago
Most used languages

Jupyter Notebook
81.3 %

Python
12.5 %

HTML
6.3 %
Location 🇮🇳 India
Country Total Rank 18,215
Country Ranking

Jupyter Notebook
2,750

Exploratory-Data-Analysis-on-Haberman-s-Survival-Data-Set

Using EDA, Haberman's Survival Data Set has been explored in this repository.

Jupyter Notebook

Tkinter-Tutorials

Contains Tkinter tutorials

Exploratory_Data_Analysis_EDA_on_IRIS_Data_Set

Using EDA, IRIS Data Set, one of the oldest data sets created in 1936, has been explored in this repository.

Jupyter Notebook

Website-resources

Necessary resources for work.

OpenCV-Tutorials

Contains OpenCV tutorials

AdventureWorks

Data analysis is performed and various dashboards are prepared in Tableau.

Big_Data_Technologies

*This repository is under construction* This repository is an introduction to Big-Data Technologies such as PySpark, Data Lakes, etc.

Jupyter Notebook

Self_Driving_Car_Project

A self driving car has been implemented in this repository using Convolution Neural Network, a deep learning architecture.

Jupyter Notebook

Data_Analysis

This repository contains various projects for data analysis.

Jupyter Notebook

Facebook_Friend_Recommendation_Project

Built ML models that recommend new friends to a user.

Jupyter Notebook

Repo_Resources

This repository contains various resources such as images, pdfs , etc. required for building other repositories.

Natural_Language_Processing

The foundations of NLP are discussed in this repository.

Jupyter Notebook

Food_Reviews_Project

Using NLP techniques, Machine Learning models are built that can classify the reviews into being positive or negative.

Jupyter Notebook

Recommendation-Engine

A simple recommender engine is created using the Turicreate library.

Jupyter Notebook

cv

Deep_Learning

This repository explains various concepts in Deep Learning through project implementation in Tensorflow using Keras.

Jupyter Notebook

PCA

This repository explains PCA, a dimensionality reduction technique, and shows its implementation on the MNIST dataset to reduce its dimensionality from 784-d to 2-d so that it could be visualized 2-d.

Jupyter Notebook

t-SNE

This repository explains t-SNE, a dimensionality reduction technique, and shows its implementation on the MNIST dataset to reduce its dimensionality from 784-d to 2-d so that it could be visualized 2-d.

Jupyter Notebook

Machine_Learning_Algorithms

This repository explains various Machine Learning algorithms and their implementation in sklearn in the form of projects.

Jupyter Notebook