End-to-End Data Science Project | Arabic
What you'll learn
- Exploratory Data Analysis
- Data Visualization
- Feature Engineering
- Data Preprocessing
- Building Models
- Models Tuning
- Deployment
- Heroku Hosting
- Houses Prices Prediction
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
Instructor
I'm an innovative and scientifically rigorous Artificial Intelligence Engineer with significant experience in data science, machine learning, deep learning, computer vision, NLP, time series forecasting, and recommendation engines, with a team-oriented attitude.
I'm eager to contribute my abilities in modeling, analysis, visualization, and experimentation to enhance your results and provide solutions for your business.
I'm teaching data analysis, data science, machine learning, deep learning, computer vision, NLP, and more. Hopefully, this will enrich the Arabic content of AI.