A complete project that covers the skills earned during the course with guidance from industry mentors and support from learner success managers throughout.

Text Analysis Text Classification Sentiment Analysis Word2Vec Models Sequence Modelling

Image Processing Image Classification Object Detection

Gradient Descent and Optimization Introduction to Neural Networks Convolutional Neural Network Recurrent Neural Networks Encoder-Decoder Models LSTM Model Generative Adversarial Network (GAN)

Moving Average ARIMA SARIMA

Apriori Eclat FP-Growth

Overview Content-based filtering Collaborative filtering

Regression analysis Introduction to regression analysis Different regression analysis techniques Classification Introduction to classification Different classification techniques Clustering Introduction to clustering Different clustering techniques

Data and its properties Basic Statistics Univariate analysis Bivariate analysis Statistical tests Hypothesis test t-Test Chi-Square test ANOVA