Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Data science Batch 109
3 Exercises • 14 Learning Materials
Assignments
DS -1
Assignment
ASM2-Pandas-Operations
Assignment
ASM3-Data-Pre-Processing
Assignment
Day 1 - Data Science Pyramid and Job Roles No-Code Data Science Tool AI vs ML vs DS vs DL"
C1- DSML-Introduction
ZIP
Day -2 Data Cleaning Data Preprocessing
C2-Data-Prep
ZIP
Day 3 - Statistical Analysis, Feature Engineering
C3-Stats-and-Features
ZIP
Day 4 - Machine Learning Basics, Supervised Machine Learning, Cross-Validation and Model
C4 - machine Learning
ZIP
Day 5 - Feature Importance and Model Interpretation, Unsupervised Machine Learning
C5-Supervised-and-Unsupervised-ML
ZIP
Day 6 - Model Deployment and Maintenance
C6-Model-Deploy-Maintain
ZIP
Day 7 - Introduction to Python and Virtual Environment
C7- Intro - Python-and-venu
ZIP
Day 8 - Python Basics
C8-Python-Basics
ZIP
Day - 9 Python for Data Science, File Handling using Pandas
C9-Python-for-Datascience
ZIP
Day - 10 Deep Dive into Python Libraries and its usage for Data Science
C10-Python-Libraries
ZIP
Day 11 - Data Pre-Processing Basics
Data Pre-Processing Basics
ZIP
Day 12 - Data Pre-Processing Basics -2
Data Pre Processing Basics - 2
ZIP
Day 13 - Introduction to Matplotlib and Seaborn
C13-Intro-Matplotlib-and-Seaborn
ZIP
Day 14 - EDA (Exploratory Data Analysis)
C14-EDA-Exploratory-Data-Analysis
ZIP
Course Instructor
Uptor
30 Courses • 29865 Students
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