English | Size: 3.71 GB
Genre: eLearning
Data Science, python, deep learning, artificial intelligence, machine learning, simple linear regression, and NumPy
What you’ll learn
Machine Learning
What is Regression
Simple Linear Regression
Data Science and Python
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
Who this course is for:
Those who want to learn machine learning, data science, and python
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