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adult_income-analysis

analyse-a-b-testing

Analyze A/B Test Results: I worked to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. My goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.

breast-cancer-detection

Breast Cancer Detection Using Machine Learning

communicate-data-findings-dand

This project is divided into two major parts. In the first part, you will conduct an exploratory data analysis on a dataset of your choosing. You will use Python data science and data visualization libraries to explore the dataset’s variables and understand the data’s structure, oddities, patterns and relationships. The analysis in this part should be structured, going from simple univariate relationships up through multivariate relationships, but it does not need to be clean or perfect. There is no one single answer that needs to come out of a given dataset. This part of the project is your opportunity to ask questions of the data and make your own discoveries. It’s important to keep in mind that sometimes exploration can lead to dead ends, and that it can take multiple steps to dig down to what you’re truly looking for. Be patient with your steps, document your work carefully, and be thorough in the perspective that you choose to take with your dataset.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

dog-breed-classification-stanford-dog-dataset

An example of using CNN for classification of dogs

exploring_suicide_rates_1985-2016

Dataset from https://www.kaggle.com/russellyates88/suicide-rates-overview-1985-to-2016

hands-on-exploratory-data-analysis-with-python

Hands-on Exploratory Data Analysis with Python, published by Packt

heart-disease-prediction

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

heart-disease-prediction-1

This Machine Learning model helps in predicting the Heart diseases.

house-price-prediction

The Data taken from Kaggle Competition for prediction of House Price from the given datasets

investigate-a-dataset-tmdb-dataset-dand

Udacity DAND Project 1

kaggle-regression

A compiled list of kaggle competitions and their winning solutions for regression problems.

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

loan-approval-prediction

This repo contains my loan approval prediction project in Python.

loandefault-prediction

Lending Club Loan data analysis

opendatasets

A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.

pandas_exercises

Practice your pandas skills!

playstore

Google Play Store Dataset Analysis

py

Repository to store sample python programs for python learning

restaurants-data-zomato-india

A exploratory analysis of the restaurants in India

seven-sages-brewing-company

Prepare and Model Data in Power bi

sql-for-data-analysis

sql-for-data-analytics

Perform fast and efficient data analysis with the power of SQL

suicides-data-analysis-dse200x

Jupyter Notebook visualizes a database contains suicide rates data across the world, written in Python.

wrangle-and-analyse-data-udacity-dand

Real world data rarely comes clean. Using Python and its libraries, you will gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. This is called data wrangling. You will document your wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries) and/or SQL.