# Live Twitter Sentiment Analysis (With Deployment)

This story will be divided into 4 parts :

1. Connecting with Twitter API and extracting the data.
2. Preprocessing the Data, and Using TextBlob for sentiment analysis.
3. Create an API using Streamlit and Flask.
4. Deploy the project on Heroku.
• Our Goal will be to Create an API where the user will Enter a Topic, which we will search on Twitter and Extract tweets related to that Topic.
• We will then do sentiment Analysis on the extracted tweets and classify them into Positive, Negative, Neutral.
• Further, we will provide visualizations so the Data can be further analyzed by the user.
• Here…

# Linear Regression A-Z (Using Car Price Prediction dataset)

Linear regression is a way to explain the relationship between a dependent variable(Y) and one or more explanatory variables(X) using a straight line. It is a special case of regression analysis. Linear regression was the first type of regression analysis to be studied rigorously.

It is one of the simplest, yet very powerful Algorithm if used for the right problem.

We will look at all the aspects of this algorithm :
1. Conditions for using Linear Regression
2. Assumptions
3. Objective
4. Equation for Linear Regression
5. Inferring the Different model outputs
6. Evaluating the Model

We will look at…

# Time Series Prediction with Machine Learning (Getting Started).

What is Time Series Data ?

Time series data (Time-stamped data), is a sequence of data points indexed in time order. Time-stamped is data collected at different points in time.

These data points typically consist of successive measurements made from the same source over a time interval and are used to track change over time.

# EDA(Exploratory Data Analysis) on English Premier League (football).

Image Source :https://www.exasol.com

# 1. Introduction

The data was originally acquired from the Premier League website and is representative of seasons 1993–94 to 2017/18. and contains various statistical data such as final and half time result, Goals scored by Home and Away teams.

I would like to explain the various data analysis operation which have been performed on this data set and how to conclude which factors contribute to the Result of a football game.We will be taking Data of only 1 season here (2003–2004 Season).

Before going into any details, let us first take a look at which variables… ## Abhishek Darekar

AI and Machine Learning Enthusiast.