100-days-of-ml-code

100 Days of ML Coding

airpollution-dataset-analysis-jhu

Analyzing the effects of two primary pollutants - Sulfate and Nitrate across 332 different locations in US.

analyzing-and-predicting-house-sales-in-king-county-us

analyzing-data-sets-with-tableau

analyzing-us-economic-data-and-building-a-dashboard

Gross domestic product (GDP) is a measure of the market value of all the final goods and services produced in a period. GDP is an indicator of how well the economy is doing. A drop in GDP indicates the economy is producing less; similarly an increase in GDP suggests the economy is performing better.

analyzing-wearable-computing-dataset---jhu

The dataset represents data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

bard-api

The python package that returns response of Google Bard through API.

binary-search-1

chatcsv

Welcome to ChatCSV, an interactive language-based application powered by LangChain LLM and Streamlit! This repository contains the code and resources for ChatCSV, where you can have engaging conversations with our language model.

cleaning-and-analyzing-football-wwc-2019-data

Determining which match and stadium had the highest attendance during the 2019 FIFA Women's World Cup.

competitive-coding-1

datasciencecoursera

Data Science Toolkit!

datasharing

The Leek group guide to data sharing

derived_variables_ganvstvae

design-1

design-2

eas503-miniproject2

eas508-hw1-auto

eas508-hw4

even-integer-gan

exploratory-data-analysis-electric-power-consumption-jhu

Plotting Assignment 1 for Exploratory Data Analysis

forecasting_with_r_practices

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

gender-guess-indiannames

Guess gender from indian names.

google-coding-competition

health-supplements-recommendation-system

international-debt-statistics-analysis---sql

investigating-netflix-movies-and-guest-stars-in-the-office-

Netflix! What started in 1997 as a DVD rental service has since exploded into the largest entertainment/media company by market capitalization, boasting over 200 million subscribers as of January 2021. Given the large number of movies and series available on the platform, it is a perfect opportunity to flex our data manipulation skills and dive into the entertainment industry. Our friend has also been brushing up on their Python skills and has taken a first crack at a CSV file containing Netflix data. For their first order of business, they have been performing some analyses, and they believe that the average duration of movies has been declining. As evidence of this, they have provided us with the following information. For the years from 2011 to 2020, the average movie durations are 103, 101, 99, 100, 100, 95, 95, 96, 93, and 90, respectively.

jhu-hospital-ranking-analytics

Analyzing Hospitals on the basis of the quality care provided and also according to the mortality rate and basic hospital data.

leetcodesolutions

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.