muhammadkabir185 Goto Github PK

analyzing_medium

Analysis of more than one million Medium articles.

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-analysis-with-r

This repository contains my Exploratory Data Analysis projects using R

data-analysis-with-r-1

Data Analysis Projects using R

dataanalysis

Compilation of R and Python programming codes on the Data Professor YouTube channel.

dataanalysisportfolio

This Contains my personal data Analytics Project

dataanalysisprojects

This contains data analysis projects

datascience-box

Data Science Course in a Box

ebookreader

The EbookReader Android App. Support file format like epub, pdf, txt, html, mobi, azw, azw3, html, doc, docx,cbz, cbr. Support tts.

employee_rightsizing

Analysis for Rightsizing Employee Base Using SQL Queries

exploratory-data-analysis-with-r

Project in Udacity Nanodegree "Programming for Data Science with R"

explore-and-summarize-data

Exploring the relationship between red wine and wine quality. Project submission for Udacity's Data Analysis with R course.

frontend-projects

Contains my personal Frontend Web development projects

gads2020practiceproject

human-resource-analytics-and-employee-churn-prediction

A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?

imdb-movie-dataset-analysis

IMDB Movie characteristics analysis - Final Project submitted for the subject "Data Wrangling with R"

loan_application_screener

Improving Loan Application Selection via Various Machine Learning Models In Unbalanced Dataset

muhammadkabir185

muhammadkabir185.github.io

Personal Portfolio website

py

Repository to store sample python programs for python learning

regressionanalysisr

This was the second in the series of projects completed while taking a class on Data Intensive Computing(CSE 587). The project analyses NYSE data for over a period of 3 years and then calculates the MAE (Mean Absolute Error) to evaluate error in time series analysis. Based on this error, three statistical methods were used to find stocks with best-forecasted performance. The 3 models of prediction used are Arima, Holt-Winters and Linear Regression.

tensorflow-sentiment-analysis-on-amazon-reviews-data

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.