Program Fees: | $200.00 |
Discount Price: | $160.00 |
You save: | $40.00 (20%) |
- Statistical analysis concepts
- Descriptive statistics
- Introduction to probability and Bayes theorem
- Probability distributions
- Hypothesis testing & scores
- Python Overview
- Pandas for Pre-Processing and Exploratory Data Analysis
- Numpy for Statistical Analysis
- Matplotlib & Seaborn for Data Visualization
- Scikit Learn
- Machine Learning Modelling Flow
- How to treat Data in ML
- Types of Machine Learning
- Performance Measures
- Bias-Variance Trade-Off
- Overfitting & Underfitting
- Maxima and Minima
- Cost Function
- Learning Rate
- Optimization Techniques
- Linear Regression
- Case Study
- Logistic Regression
- Case Study
- K-NN Classification
- Case Study
- Naive Bayesian classifiers
- Case Study
- SVM - Support Vector Machines
- Case Study
- Clustering approaches
- K Means clustering
- Hierarchical clustering
- Case Study
- 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
- Introduction to Recommendation Systems
- Types of Recommendation Techniques
- Collaborative Filtering
- Content based Filtering
- Hybrid RS
- Performance measurement
- Case Study
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What is I miss one (or) more class?
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.
- Do I get any discount on the course?
- Who is my instructor?
- What is the qualification of the trainer?
- Who will provide the environment to execute the Practicals ?
- What are the modes of training offered for this course?
- Can I attend a demo session?
- What are the payment options?
- How TuneTM’s Refund Policy works?
- I have more queries?