programography
Hello, I'm Naresh, the creator of Programography, your go-to place for mastering programming and data technologies!
At Programography, we believe that quality education should be accessible to everyone. Our mission is to make learning programming simple, practical, and fun for beginners and professionals alike.
On this channel, you’ll find high-quality free content covering topics like:
💻 Python programming and projects
🌐 Web development with PHP, Django, and Laravel
🤖 Machine Learning & Artificial Intelligence
📊 Data Science, Power BI, and Analytics
🛠 Real-world projects to boost your portfolio
In addition, we also provide structured mentorship programs where learners get personalized guidance, hands-on projects, assignments, and more.
With my experience in teaching and building real-world tech projects, I aim to bridge the gap between theoretical knowledge and practical application.
For collaborations, reach out to [email protected]
#5 Conditional statments | if elif else | programography 2.0
Lecture 13 : Soft Margin SVM | Slack Variables | Math Formulation | With Code Example
#3.2 Python Core Functions | len() | count() | Type Casting | In depth | Programography 2.0
#3.1 Python Core Functions | print() | input() | type() | In depth | Programography 2.0
#2 Python Variables | Data types | Keywords | Comments | In depth | Programography 2.0
Best Code Editor For Coding
#1 Python History | Why Python | In depth | Programography 2.0
#4 Operators in Python | In depth | Programography 2.0
Lecture 12 : Support Vector Machine (SVM) | Hard Margin SVM | With Code Example
Lecture 11 : What is K-Nearest Neighbors (KNN) | Complete Algo With Practical Project
Lecture 10 : Multi-Class Classification | Intro | Image Classification Project | Tkinter GUI
Lecture 9 : Binary Classification | LogisticRegression | Sigmoid | Step function | Complete Project
Lecture 8 : Lasso Regression | L1 Regularization | Complete | In Hindi
Lecture 7 : Ridge Regression | L2 Regularization | Complete | In Hindi
Lecture 6 : Bias and Variance tradeoff | Overfitting and Underfitting | Sample and Population Data
Lecture 16 : Picsagram Complete Project Django | Like Instagram
Lecture 15 : Who's Joke Complete Project Django With Login, Signup
Lecture 5 : Polynomial Linear Regression | Machine Learning
Lecture 4 : Multiple Linear Regression | Machine Learning
Lecture 3 : Mathematical Intuition | Write Own Algorithm | Simple Linear Regression
Lecture 14 : Complete Login, Signup and Logout Flow using Django
Web Scraping Smartphones Data & Cleaning with Pandas | Industry-Level Selenium Project
Lecture 13 : Complete Gallery Project Using Django
Lecture 2 : Simple Linear Regression | Machine Learning | With Project
Lecture 1 : What is Machine Learning | AI Playlist | Machine Learning
Lecture 12 : Save & Show image in Django
Lecture : 11 Complete Todo Project Using Django | Todo
Complete EDA On Titanic | Data Exploratory Analysis using Pandas | EDA using Pandas
Lecture 10 : Update Records | Django CRUD | 2 - Practical Examples
Lecture 9: Delete Records | Django CRUD | Delete Data From DB