Machine Learning Masterclass (Python)
- Offered byPantech e Learning
Machine Learning Masterclass (Python) at Pantech e Learning Overview
Duration | 27 hours |
Total fee | ₹1,500 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Machine Learning Masterclass (Python) at Pantech e Learning Highlights
- Online support through forums
- All Video access for 3 Months
- Assignments
- 10+ Projects
Machine Learning Masterclass (Python) at Pantech e Learning Course details
- Introduction to ML And AI
- Python code in google colab, Jupyter notebook
- Liver disease Prediction (Logistic Regression)
- Crime Analysis (KNN Algorithm)
- Classifying muffins and cupcakes (SVM Algorithm)
- Fake news detection (Naïve Baye’s)
- Android malware (Decision tree)
- Credit_card Fraud detection
- Evaluating the classification model – Confusion matrix , Calculating the accuracy score
- Classification model selection For Breast Cancer Classification
- Employee Salary Prediction (Linear Regression Single Variable)
- Advertisement and Sales Prediction (Multiple Linear Regression)
- Generating Data points based on some equation Polynomial Regression
- Student marks prediction (Support Vector Regression.)
- Cream shop revenue prediction from temperature Decision Tree Regression
- Agriculture Price Prediction - (Random Forest Algorithm)
- This course on Machine Learning will provide the learners with all the concepts of ML in depth.
- This course has been designed suitably to provide insights into each and every application of ML . Detailed analysis of ML Algorithms will provide a better understanding on Machine Learning Implementation
- This course equip participants with a strong foundational understanding of ML concepts, practical skills through live projects, and the ability to apply Machine Learning techniques in diverse real-world scenarios
Machine Learning Masterclass (Python) at Pantech e Learning Curriculum
Introduction to ML And AI
Python Programming - Fundamentals
Python Programming - Fundamentals
Python – Tools
Syntaxes & Data Structures
Tools & syntaxes
Tools & syntaxes
ML Concepts
ML Concepts
ML Concepts
Pandas
Pandas Library
Pandas Library
Pandas – Data Structures
pandas - data structures
Data Structures
Numpy library - Array Operations
Mathematical Functions
Numpy library - Array Operations
Mathematical Functions
Numpy library - Array Operations
Mathematical Functions
Numpy - Sort , Search and Counting Functions
Byte Swapping
Numpy - Sort , Search and Counting Functions
Byte Swapping
Numpy - Sort , Search and Counting Functions
Byte Swapping
Matplotlib , Histogram Using Matplotlib
I/O With Numpy
Histogram using Matplotlib with Numpy
Matplotib, Matplotlib , Histogram Using Matplotlib IO With Numpy
Matplotlib Library - Introduction , Pyplot API
Types Of Plots
Matplotlib Library - Introduction , Pyplot API
Types Of Plots
Classification & Confusion Matrixes
Seaborn Library
seaborn library
ML-Master class - seaborn Downloadable
SKLearn Library
Employee Salary Prediction using Linear Regression
Employee Salary Prediction using Linear Regression
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