Machine Learning

Machine Learning course is offered by MS Soft Technologies. MS Soft Technologies is a leading software training institute dedicated to providing high-quality education with real-time industry experts. We offer a wide range of professional courses.

Content:

• Week 1
• Introduction to Python Programming Language
• Lists
• Sets
• Tuples
• Dictionaries
• Week 2
• Introduction to Python for Data Science
• Numpy
• Pandas
• Advanced Pandas Tricks
• Exploratory Data Analysis
• Data Cleaning
• Data Preparation
• Week 3
• Introduction to Data Analysis
• Groupby
• Aggregate Functions
• Lambas
• Functions
• Classes
• Definitions
• Filter
• Matrices
• Queries
• Data Frame Operations
• Week 4
• Introduction to Data Visualization
• Introduction to Pandas for Plotting
• Types of Charts
• Univariate Analysis
• Bivariate Analysis
• Multivariate Analysis
• Matplotlib
• Seaborn
• Plotly
• Animated Data Visualizations
• Geo Spatial Data Visualizations
• Creating Dashboards in Python
• Week 5
• Introduction to Data Preprocessing
• Feature Engineering
• Feature Extraction
• Feature Selection Strategies
• Types of Feature Selection
• Correlation
• Heatmaps
• Data Preparation
• Data Manipulation
• Week 6
• Introduction to Machine Learning
• Introduction to Types of Machine Learning
• Supervised Learning Techniques
• Regression Analysis
• Linear Regression
• Lasso Regression
• Ridge Regression
• Elastic Net Regression
• Metrics for Regression
• Week 7
• Introduction to Classification Algorithms
• Logistic Regression
• Decision Trees
• Random Forests
• K Nearest Neighbors
• Support Vector Machines
• Naive Bayes Theorem
• Ada Boost
• Metrics for Classification
• Week 8
• Introduction to Unsupervised Learning
• Types of Clustering Techniques
• K-Means Clustering
• Hierarchial Clustering
• Dimensionality Reduction Techniques
• PCA
• LDA
• Difference between LDA and PCA
• Week 9
• Introduction to Advanced Machine Learning Tricks
• Cross Validation Techniques
• Grid Search
• Hyper Parameter Tuning
• Ensembling Techniques
• Model Validation Techniques
• Model Explanation