| Program Fees: | $200.00 |
| Discount Price: | $160.00 |
| You save: | $40.00 (20%) |
Statistical Learning
- Statistical analysis concepts
- Descriptive statistics
- Introduction to probability and Bayes theorem
- Probability distributions
- Hypothesis testing & scores
Python for Machine Learning
- Python Overview
- Pandas for Pre-Processing and Exploratory Data Analysis
- Numpy for Statistical Analysis
- Matplotlib & Seaborn for Data Visualization
- Scikit Learn
Introduction to Machine Learning
- Machine Learning Modelling Flow
- How to treat Data in ML
- Types of Machine Learning
- Performance Measures
- Bias-Variance Trade-Off
- Overfitting & Underfitting
Optimization
- Maxima and Minima
- Cost Function
- Learning Rate
- Optimization Techniques
Supervised Learning
- Linear Regression
- Case Study
- Logistic Regression
- Case Study
- K-NN Classification
- Case Study
- Naive Bayesian classifiers
- Case Study
- SVM - Support Vector Machines
- Case Study
Unsupervised Learning
- Clustering approaches
- K Means clustering
- Hierarchical clustering
- Case Study
Ensemble Techniques
- Decision Trees
- Case Study
- Introduction to Ensemble Learning
- Different Ensemble Learning Techniques
- Bagging
- Boosting
- Random Forests
- Case Study
- PCA (Principal Component Analysis) and Its Applications
- Case Study
Recommendation Systems
- Introduction to Recommendation Systems
- Types of Recommendation Techniques
- Collaborative Filtering
- Content based Filtering
- Hybrid RS
- Performance measurement
- Case Study
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No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.
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