Exercises
Table of Contents
Exercises
Exercises
Scikit Learn Exercise
Fit a linear regression model to predict a target variable
Evaluate a classifier using a confusion matrix.
Classify whether a number is greater than 3.
Train a random forest classifier.
Classify points based on a simple dataset.
Cluster data points into 3 clusters using K-means.
Build a simple decision tree classifier.
Reduce features from 4 to 2 using PCA.
Scale the dataset using StandardScaler.
Perform 5-fold cross-validation on an SVM classifier.
- All Posts
- Artificial Intelligence
- Computer Fundamentals
- Computer Networks
- Data Analytics
- Data Science
- DBMS
- Deep Learning
- Digital Electronics
- DSA with Python
- Excel
- Exercise
- Git & Github
- Machine Learning
- Matplotlib
- Natural Language Processing
- NumPy
- Operating System
- Pandas-s
- Power BI
- Python Tutorial
- Scikit-learn
- Seaborn
- SQL & MySQL

Table of Contents All Chapters 1. Personal Area Network 2. Local Area Network 3. Campus Area Network 4. Metropolitan Area...

Table of Contents All Chapters 1. Data Communication 2. Types of Data Communication 2.1. Simplex 2.2....

Table of Contents All Chapters 1. Special Logic Gate 2. XOR Gate 2.1. XOR Gate Truth Table 3....

Table of Contents All Chapters 1. Universal Logic Gates 2. NOR Gate 2.1. NOR Gate Truth Table 3....

Table of Contents All Chapters 1. Logic Gate 2. AND Gate 2.1. AND Gate Truth Table 3. OR...

Table of Contents All Chapters 1. Simplification 2. Simplification using Boolean Algebra Theorems 3. Simplification using K-map Digital Electronics...

Table of Contents All Chapters 1. Identity Laws 2. Null Laws 3. Domination Laws 4. Idempotent Laws 5. Complement Laws...