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🎬 Linear Regression on Top 50 IMDb movies

My Machine Learning Project using Linear Regression Part of my Data Science Learning journey


Dataset Overview

  • Source: IMDb movies (Top 50 movies)
  • Name: IMDB-Movie-Data.csv
  • Format: csv & exel
  • Type : Different Types like : Sci-fy, Action, Animation, Drama, Comedy etc...

Step performed in Project

  • Import Python packages & Datasets
  • Select only useful Data records
  • Exploratory Data Analysis (EDA)
    • Graphs & Charts
    • NumPy manupulation
    • Relation b/w Target & Independence Features
  • Features Engineering
  • Train the Model
    • Normalise Data
    • Train_Test_Split
    • Predict Accuracy & Cross Validation

Packages Used In :

  • python
  • pandas
  • numpy
  • matplotlib
  • seaborn
  • sklearn

How to access this repo on Devise

  • git clone https://github.com/Lakhan-cs/Linear-reg_project (On terminal)
  • pip install -r requirement.txt (intall all essential packages on bash terminal)
  • cd "Lakhan-cs/Linear-reg_project" (Access the repo file can also modify the repo.)

About

I'm grateful to introduce you all my "Linear Regression Project" that's part of my Data Science Course journey. I take top 50 World-wide grossing IDMB movies data , where I do some analysis via performing some Linear Regression Manupulation.

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