Curriculum
- 3 Sections
- 28 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Overview of Project11
- 1.1Introduction4 Minutes
- 1.2Problem Statement [with Video]4 Minutes
- 1.3Challenges with Stock price data4 Minutes
- 1.4Evaluation and Outcome5 Minutes
- 1.5How to Go About3 Minutes
- 1.6Study Along2 Minutes
- 1.7Use of ChatGPT2 Minutes
- 1.8Project Code2 Minutes
- 1.9Setting up your Project Development Environment3 Minutes
- 1.10Setting up your Local (Laptop/Desktop) Environment6 Minutes
- 1.11EDA Quiz10 Minutes10 Questions
- Exploratory Data Analysis (EDA) Phase5
- Machine Learning Model Building13
- 3.1Model Building – Study8 Minutes
- 3.2Pre-knowledge Requirements10 Minutes
- 3.3Understanding ARIMA [with Video]10 Minutes
- 3.4Data Stationarity8 Minutes
- 3.5Check for Data Stationarity4 Minutes
- 3.6ARIMA Parameters – p, d and q6 Minutes
- 3.7Model Building Approaches7 Minutes
- 3.8ACF and PACF Plots10 Minutes
- 3.9Approach 1: Manual [with Video]15 Minutes
- 3.10Approach 2: Auto ARIMA10 Minutes
- 3.11Challenges in ARIMA Accuracy12 Minutes
- 3.12Improvement Steps10 Minutes
- 3.13Code ZIP10 Minutes