4 Best Fit Line and Linear Regression Model Predictions Model Accuracy Graphical Plotting Logistic Regression Assumptions Reason for the Logit Transform Logit Transformation Hypothesis Variable and Model Significance Maximum Likelihood Concept Log Odds and Interpretation Null Vs Residual Deviance Chi-Square Test ROC Curve Model Specification Case for Prediction Probe Model Parameter Significance Evaluation Drawing the ROC Curve Optimization of threshold value Estimating the Classification Model Hit Ratio Isolating the Classifier for Optimum Results Model Accuracy Model Prediction Practical on Machine Linear & Logistic Regression Support Vector Machine Concept and Working Principle Mathematical Modelling Optimization Function Formation The Kernel Method and Nonlinear Hyperplanes Optimal separating hyperplane
5 Drawing Margins Use Cases & Programming SVM using Python Anomaly Detection with SVM Use Cases & Programming using Python Case study of KNN Vs SVM Applying KNN & SVM for Supervised Problems of Classification & Unsupervised problems like Clustering. RANDOM FOREST & Decision Tree Algorithm Concept and Working Principle Mathematical Modelling Optimization Function Formation Analysis of Classification Problem case Math: Role of Gini Index in Decision Trees Analysis of Regression Problem case Use Cases & Programming using Python Classification with Random Forest Pros & Cons Project: Credit card fraud analysis Use cases & examples Gradient descent variants (Theory) Batch gradient descent Stochastic gradient descent Mini-batch gradient descent Entropy Function Challenges Gradient descent optimization algorithms Adagrad Adadelta RMSprop Adam Visualization of algorithms Which optimizer to choose
6 Artificial Neural Networks Introduction to TensorFlow & Keras Introduction Tensorflow Tensorflow MNIST The Programming Model Data Model, Tensor Board Introducing Feed Forward Neural Nets Softmax Classifier & ReLU Classifier Deep Learning Applications Working with Keras Building Neural Network with keras Examples and use cases Artificial Neural Networks with Case Study Neurons, ANN & Working Single Layer Perceptron Model Multilayer Neural Network Feed Forward Neural Network Cost Function Formation Entropy Cost Function Optimization Applying Gradient Descent Algorithm Stocha Backpropagation Algorithm & Mathematical Modelling Programming Flow for backpropagation algorithm Use Cases of ANN Programming SLNN using Python Programming MLNN using Python XOR Logic using MLNN & Backpropagation Score Predictor
7 Unsupervised Learning Clustering Clustering Introduction K-Means Clustering Handling K-Means Clustering Maths behind KMeans Clustering K Means from scratch Mean shift Introduction Dynamically weight Project: Intruder Detection Classification problems & best predictive out of all Case study for various examples Flask Web Development Introduction HTML Basic Bootstrap Flask Templating CRUD Project Development Project Deployment on Heroku Cloud