• Machine Learning in Nutshell
• Supervised and Unsupervised Learning
• ML Applications
• Evaluating ML techniques
• Uses of Machine Learning

2 hours

• Feature engineering and Data Pre-processing: Data Preparation, Feature creation, Data cleaning & transformation
• Data Validation & Modelling
• Feature selection Techniques
• Dimensionality reduction

2 hours

• Principal Component analysis (PCA)
• Clustering
• Hierarchical Clustering &K means
• Distance Measure and Data Preparation – Scaling & Weighting

2 hours

• Evaluation and Profiling of Clusters
• Hierarchical Clustering
• Clustering Case Study

2 hours

• Decision Trees
• Classification and Regression Trees

2 hours

• Bayesian analysis and Naïve Bayes classifier
• Assigning probabilities and calculating results

2 hours

• Discriminant Analysis (Linear and Quadratic)
• K-Nearest Neighbors Algorithm

2 hours

• Concept of Model Ensembling
• Random forest, Gradient boosting Machines, Model Stacking

2 hours

• Association rules mining
• Apriori and FP-growth algorithms

2 hours

• Linear Regression
• Logistic Regression
• Polynomial Regression
• Stepwise Regression
• Ridge Regression
• Lasso Regression
• ElasticNet Regression

2 hours

• Support vector Machines
• Basic classification principle of SVM
• Linear and Nonlinear classification (Polynomial and Radial)

2 hours

• Auto-correlation (ACF & PACF)
• Auto-regression
• Auto-regressive Models
• Moving Average Models
• ARMA &ARIMA

2 hours

• ML in Real Time
• Algorithm Performance Metrics
• ROC and AOC
• Confusion Metrix
• F1 Score
• MSE and MAE

2 hours

• Recommendation Systems
• Data Collection & Storage, Data Filtering
• Collaborative Filtering
• Factorization Methods
• Evaluation Metrics: Recall, Precision, RMSE, Mean Reciprocal Rank, MAP at K, NDCG

2 hours

• Anomaly detection
• Point, Contextual and Collective Anomaly
• Supervised and Unsupervised anomaly detection

2 hours

• DBSCAN Clustering

2 hours

• Usage of ML algorithms, Algorithm performance metrics (confusion matrix sensitivity, Specificity, ROC, AOC, F1score, Precision, Recall, MSE, MAE)
• Credit Card Fraud Analysis
• Intrusion Detection system