BADIR: Hands-on Machine Learning/AI

Today all leading organizations are rapidly gaining power by leveraging information to gain insights and drive the business. Business analytics delivers actionable insights – new interpretations and evaluations of business performance based on data and statistical methods. Predictive analytics and Machine learning on the other hand provide customer level behavior prediction to enable businesses like yours to deliver more relevant content to customers, improve response rate, improve retention and overall profitability of the company.

This course is an applied, hands-on AI course covering the most commonly used machine learning and AI techniques in the world of business. They are Linear Regression, Logistic Regression, LASSO, Ridge, Decision Tree, Random Forest, Gradient Boosting, Neural Networks, Text analytics and K-Means clustering. All the analysis is done using open source statistical software Python. The material is brought home using examples and exercise from diverse industry like Financial Services, e-commerce and predicting home prices among others.

Predictive analytics/Machine Learning/Deep Learning Case Simulation: Participants test their own knowledge of predictive modeling by solving a real world business situation - predicting next best product for an e-commerce company using LGBM, Random Forest, GBC, Neural Networks.

This course contains 13 sections cumulatively of roughly 2 hours each. You can choose to take one section every week at a pre-set or flexible time based on your schedule. This would make this a 13-week course for you. Or you can move faster by completing more than one section in a week as per your convenience.

Key Takeaways :

• Gain hands-on comfort in machine learning algorithms : Logistic Regression, Linear Regression, LASSO, Ridge, Gradient Boosting, Random Forest. Decision Tree, Neural Networks, Text Analytics and K-Means Clustering using Python.
• Delve into more advanced topics of AI, Deep learning, and multi-layer neural networks
• Discover analysis techniques, effective influencing, and cross-functional skills to convert those machine learning models and insights to impact
• Learn a proven approach to building effective AI models using the BADIR^TM 5-step Analytics Framework
• Understand how to quantify the impact of your predictive analytics model and effectively present the findings and model to peers and management
• Learn how to use R, and Python for data manipulation and model building.

Topics covered include:

Software Required: Attendees need their laptop with MS Excel or equivalent loaded for exercises. At the start of the course, we will give you instructions on downloading Python.

Attendees receive:

• An official Certificate of Completion at the conclusion of the training, with your name and instructor signature.
• 12 months of access to all course content and videos. Go back, pause, take notes, as many times as you like for 12 months.
• Templates, cheat sheets, and samples that help you take your training to your day-to-day work flow.
• Sample Python code for linear regression, logistic regression, decision tree, neural networks, random Forest, gradient boosting, text analytics, and K-means clustering
• The ability to sign up for 1-on-1 mentoring with experts as they begin to build their own models using the approach learned in this course.