deveshSingh06

AdventureWorks

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

Deep_Learning

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

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

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

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.

Facebook_Friend_Recommendation_Project

Built ML models that recommend new friends to a user.

Food_Reviews_Project

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

Machine_Learning_Algorithms

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

Natural_Language_Processing

The foundations of NLP are discussed in this repository.

Self_Driving_Car_Project

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

Tkinter-Tutorials

Contains Tkinter tutorials

deveshSingh06/Exploratory-Data-Analysis-on-Haberman-s-Survival-Data-Set

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

deveshSingh06/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.

deveshSingh06/Tkinter-Tutorials

Contains Tkinter tutorials

deveshSingh06/AdventureWorks

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

deveshSingh06/AIPND

Code and associated files for the AI Programming with Python Nanodegree Program

deveshSingh06/AIPND-Exercises

deveshSingh06/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

deveshSingh06/Big_Data_Technologies

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

deveshSingh06/cv

deveshSingh06/Data_Analysis

This repository contains various projects for data analysis.

deveshSingh06/deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deveshSingh06/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deveshSingh06/Deep_Learning

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

deveshSingh06/DL_PyTorch

Code for the Deep Learning with PyTorch lesson

deveshSingh06/Facebook_Friend_Recommendation_Project

Built ML models that recommend new friends to a user.

deveshSingh06/Food_Reviews_Project

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

deveshSingh06/Machine_Learning_Algorithms

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

deveshSingh06/Natural_Language_Processing

The foundations of NLP are discussed in this repository.

deveshSingh06/OpenCV-Tutorials

Contains OpenCV tutorials

deveshSingh06/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.

deveshSingh06/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

deveshSingh06/Recommendation-Engine

A simple recommender engine is created using the Turicreate library.

deveshSingh06/Repo_Resources

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

deveshSingh06/Self_Driving_Car_Project

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

deveshSingh06/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.

deveshSingh06/tabula-py

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

deveshSingh06/TensorFlow-LiveLessons

"Deep Learning with TensorFlow" LiveLessons

deveshSingh06/Website-resources

Necessary resources for work.