Python, Machine Learning, and Data Science Course [2023]

• < Step-by-step explanation of more than 1 hour of video lessons on Python, Machine Learning, and Data Science Course [2023]
• <Instant reply to your questions asked during studies>
• <Weekly live talks on Python, Machine Learning, and Data Science Course [2023]. You can raise your questions in a live session as well>
• <Helping materials like notes, examples, and exercises>
• <Solution of quizzes and assignments>

This course has been designed for Python, Machine Learning, and Data Science courses [2023]. The course has explained from basics of Python, Machine Learning, and Data Science Course [2023] and it finishes on a pro level. The real-life examples of Python, Machine Learning, and Data Science Courses [2023] have also been added to make the course valuable for learners.

What you will learn:

• Machine Learning
• Artificial Intelligence
• Supervised Machine Learning
• Supervised ML Model
• What is Regression?
• Simple LR
• Multi-LR
• Polynomial Regression
• Model Development
• Data Preprocessing
• Regression Coding
• Scikit Programming
• Collection of Data
• Splitting of Data
• Poly-Scatter Plot
• KNN-Model for SML
• Decision Tree
• Data Visualization for SML
• Support Vector mechanics.
• scatter Plots
• Matplotlib Glitches
• Colors in Scattering
• Plot Vs Scatter Plot
• Bar Plotting
• Multiple Bar Plot
• Stacked and Sub Plots
• Histogram Plot
• Data Set
• Data Distribution

  Allah Ditta is your lead instructor – a Ph.D. and lecturer making a living from teaching Supervised Machine Learning, and data science.

You’ll get excellent support and feedback to help you become more confident with data science!

We can’t wait to see you on the course!

Enroll now, and we’ll help you improve your data science skills!

AD Chauhdry

Tayyab Rashid