Machine Learning

Code for the future of user interfaces & build dynamic, interactive websites to create impactful online experiences.

4.9/5

Course Rating

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2-3 Months

Program Duration

Certifications

2

Industrial Projects

4-6

Internship Partners

100+

Quiz/ Assignments

Lifetime

Program Access

Program Curriculum

Explore a career in web development, a dynamic field that combines creativity and essential skills for a promising professional journey.

  • Python Architecture and Data Structures
  • Installation of Anaconda Prompt
  • Jupyter Notebook Overview
  • Shortcuts in Jupyter Notebook
  • Data Types in Python
  • Rules for Naming Variables
  • List, Tuple, Set, Dictionary
  • Introduction to Files and Directories
  • Text File Reading and Writing
  • Using `with` to Open Files
  • If, elif, and else conditions
  • For Loop
  • While Loop
  • Introduction to Machine Learning Libraries
  • NumPy – Hands-on Practice
  • Pandas – Data Manipulation, Calculation, Analysis
  • Pandas – Hands-on Practice
  • Exploring and Visualizing Data
  • Matplotlib – Hands-on
  • Seaborn – Hands-on
  • Extracting Insights from Data
  • Thinking Statistically
  • Measures of Central Tendency
  • Measures of Dispersion
  • IQR Statistics – Hands-on
  • Classification and Regression
  • Model Fine-Tuning
  • Linear Regression
  • Metrics in Linear Regression – Hands-on
  • Introduction to Logistic Regression
  • Metrics in Logistic Regression
  • Hands-on Practice
  • Introduction to Data Preprocessing
  • Handling Missing Values and Outliers
  • Standardization and Normalization
  • Feature Scaling and Selection
  • Exploratory Data Analysis (EDA)
  • Decision Tree – Classification and Regression
  • Bagging
  • Boosting
  • Random Forest

Certificates

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