#### Analyzing and Predicting Pakistan Covid-19 CasesAnalyzing and Predicting Pakistan Covid-19 Cases

In this blog post we will work on Covid-19 of Pakistan. This post is break into two part first we do the analyze part and then Predict cases for future day. Before we begin just wanna mention that if you want to get more insights check out video tutorial as

#### Machine Learning Model EvaluationMachine Learning Model Evaluation

The Problem is we need to evaluate our model performance and how well our trained model can be use to predict new data So, the Solution is we need to split our data into training and testing sets. Training data (in-sample data) will be used to train our model and

#### Linear Regression in PythonLinear Regression in Python

In this blog we will learn about Linear Regression and Multiple Linear Regression and how we can implement it int Python In Linear Regression (LR) we used one independent variable for prediction. We represent a linear model by following equation y = b0 + b1 * xb0: the interceptb1: the

#### Web Scraping with PythonWeb Scraping with Python

Web scraping is a computer software technique of extracting information from websites. This technique mostly focuses on the transformation of unstructured data (HTML format) on the web into structured data (database or spreadsheet). We deal with HTML tags when performing scrapping. Below tags are often used in scrapping: -> Document

#### Exploratory Data AnalysisExploratory Data Analysis

In EDA we get a better understanding of the data, we determine the relationships between variable and summarize the data, find important columns that give us a good prediction accuracy. Descriptive StatisticsIt gives basic statistics of the overall data. Pandas function describe() help us in that. Box plot are a

#### Data PreprocessingData Preprocessing

In machine learning data pre-processing or data cleaning is an important step. Because if your data is cleaned means that if there are no null values, our machine learning model will learn more about our data and find more patterns in the data. In this we convert our data into