Amit Kumar (amittian)

amittian

User data from Github https://github.com/amittian

Company:Prodapt Solutions Pvt Ltd

Location:Bangalore,India

Home Page:https://about.me/amittian

GitHub:@amittian

Twitter:@amittian

Amit Kumar's repositories

BANK-BIG-DATA-ANALYSIS-USING-HADOOP

Banking Data Analysis Using SQL ,SQOOP, HIVE, HADOOP, TABLEAU, R, UNIX

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Deep-Learning-Based-Image-Similarity

Utilizing Deep Learning Techniques to Gauge Image Similarity

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gpu-Compatibility-Checks-for-TensorFlow-and-PyTorch

Detailed system information display, including GPU model, memory, and driver version.

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pytorch-cuda-configuration

This repository provides a comprehensive step-by-step guide for installing and setting up CUDA and PyTorch on your system.

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amittian

Hi There !

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Artificial-Neural-Networks-Classification

Artificial Neural Networks : Classification

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Association-Rule-Mining

An Introduction on Market Basket Analysis — Association Rules

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Connecting-to-Snowflake-from-Jupyter-Notebook

Detailed setup instructions for establishing a connection to Snowflake from Jupyter Notebook.

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DATA_ANALYSIS-VISUALIZATION-using-Hive-and-TABLEAU

DATA_ANALYSIS & VISUALIZATION using Hadoop , Hive and TABLEAU

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DB_PYTHON_connection

How to import dot DB files and retrieve data from table

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deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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Exploratory-Data-Analysis-R

Exploratory Data Analysis of Indian Premier League (Cricket) using R

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git_jenkins_integrations

git_jenkins_integrations

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Survey-Data-Deep-Emotion-Analysis

Deep Sentiment and Emotion Analysis refers to the use of deep learning techniques, particularly deep neural networks, to analyze and understand the sentiment or emotional tone expressed in text data.

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MySQL-R-Connectivity

How to access Mysql databases and their tables using R

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Pandas-DataFrame-Optimization-Techniques

Pandas DataFrame Optimization Techniques

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Python_Web_Scraping

How to scrap web content in Python

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Simple-Linear-Regression-explained

Simple Linear Regression Explained

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Vector_database-Pinecone-CRUD-using-LangChain

A sample CRUD (Create, Read, Update, Delete) application showcasing the use of Pinecone vector database and LangChain framework for efficient vector storage and retrieval.

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