Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
End-to-End Data Science Project | Arabic
Highest Rated
Rating: 4.7 out of 5(123 ratings)
6,635 students

End-to-End Data Science Project | Arabic

Real-World Projects from Data to Deployment Using Python
Created byMohammed Agoor
Last updated 1/2024
Arabic

What you'll learn

  • Exploratory Data Analysis
  • Data Visualization
  • Feature Engineering
  • Data Preprocessing
  • Building Models
  • Models Tuning
  • Deployment
  • Heroku Hosting
  • Houses Prices Prediction

Course content

4 sections15 lectures6h 32m total length
  • Course Definition3:26

Requirements

  • Basics knowledge of python
  • Basics knowledge of Machine Learning Algorithms
  • Basics knowledge of Git and GitHub

Description

This is "End-to-End Data Science Project" a unique course that enriches Arabic content, covering machine learning projects from start to finish - beginning with data acquisition and ending with model deployment and hosting. The training is comprehensive, interactive, and application-focused, providing thorough and detailed explanations.


Participants should have a basic understanding of Python fundamentals, data analysis basics, machine learning fundamentals, and machine learning algorithms (you can obtain our Machine Learning and Data Science diploma). The course is suitable for beginners and anyone interested in data science, data analysis, machine learning, and artificial intelligence, demonstrated through complete real-world projects from start to finish.


This course takes you from ground zero, covering Python Anaconda environment setup, exploratory data analysis (EDA), data visualization (univariate, bivariate, and multivariate), data preprocessing, feature engineering, model building, model tuning, and deployment using Flask and FastAPI. Additionally, it includes hosting on Heroku.


What we will explore:

  • Python Anaconda Environment

  • Exploratory Data Analysis (EDA)

  • Data Visualization

  • Univariate Visualization

  • Bivariate Visualization

  • Multivariate Visualization

  • Data Preprocessing

  • Feature Engineering

  • Building Models

  • Models Tuning

  • Deployment using Flask

  • Deployment using FastAPI

  • Heroku Hosting

  • Houses Prices Prediction

  • Linear Regression Model

  • Ridge Model

  • Lasso Model

  • ElasticNet Model

  • Polynomial Regression

  • Stochastic Gradient Regression

  • K-Nearest Neighbors Regression

  • Random Forest Regression

  • Extreme Gradient Boosting Regression (XGBoost)

  • Grid Search Cross-Validation

  • Random Search Cross-Validation


Whether you're an AI enthusiast, developer, or data scientist, this course will empower you with the knowledge and practical skills necessary to excel in building end-to-end data science projects.

Join us now and embark on an enriching learning journey that will set you on the path to mastering building end-to-end data science projects.

Enroll today!

Who this course is for:

  • AI Engineers
  • Machine Learning Engineers
  • Data Analysts
  • Data Scientists
  • Statisticians
  • Anyone with interest in AI real projects