Artificial Intelligence

Data Science Roadmap
|
|-- Core Foundations
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus Basics
| | |-- Probability
| | |-- Statistics
| |
| |-- Programming
| | |-- Python
| | | |-- NumPy
| | | |-- Pandas
| | | |-- Matplotlib
| | | |-- Seaborn
| | |-- R
| | |-- SQL
|
|-- Data Handling
| |-- Data Collection
| | |-- APIs
| | |-- Web Scraping
| | |-- Database Queries
| |
| |-- Data Cleaning
| | |-- Missing Values
| | |-- Outliers
| | |-- Feature Scaling
| | |-- Encoding
|
|-- Exploratory Data Analysis
| |-- Summary Statistics
| |-- Univariate Analysis
| |-- Bivariate Analysis
| |-- Visualizations
| |-- Correlation Checks
|
|-- Machine Learning
| |-- Supervised Learning
| | |-- Regression
| | |-- Classification
| |
| |-- Unsupervised Learning
| | |-- Clustering
| | |-- PCA
| |
| |-- Model Selection
| | |-- Train Test Split
| | |-- Cross Validation
| | |-- Hyperparameter Tuning
|
|-- Advanced Machine Learning
| |-- Ensemble Methods
| | |-- Random Forest
| | |-- XGBoost
| | |-- LightGBM
| |
| |-- Time Series
| | |-- ARIMA
| | |-- LSTM
| |
| |-- NLP
| | |-- Text Preprocessing
| | |-- TF IDF
| | |-- Word Embeddings
| |
| |-- Deep Learning
| | |-- Neural Networks
| | |-- CNN
| | |-- RNN
| | |-- Transformers
|
|-- Big Data
| |-- PySpark
| |-- Hadoop
| |-- Distributed Processing
|
|-- Model Deployment
| |-- Flask
| |-- FastAPI
| |-- Streamlit
| |-- Docker
| |-- Cloud Deployment
|
|-- MLOps
| |-- Experiment Tracking
| |-- Model Monitoring
| |-- CI CD
|
|-- Domain Knowledge
| |-- Finance
| |-- Healthcare
| |-- Retail
| |-- Marketing
|
|-- Ethics
| |-- Bias
| |-- Interpretability
| |-- Fairness

Free Resources to learn Data Science 👇👇

Python
• https://t.me/pythonproz
• https://www.learnpython.org/
• https://pythonprogramming.net
• https://pandas.pydata.org/docs/

Statistics
• https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O
• https://www.khanacademy.org/math/statistics-probability
• https://statquest.org

Machine Learning
• https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
• https://t.me/datasciencefree
• https://scikit-learn.org/stable/tutorial
• https://www.freecodecamp.org/learn/machine-learning-with-python
• https://course.fast.ai

Deep Learning
• https://www.deeplearning.ai
• https://playground.tensorflow.org

Data Visualization
• https://matplotlib.org/stable/tutorials
• https://whatsapp.com/channel/0029VaxaFzoEQIaujB31SO34
• https://seaborn.pydata.org/tutorial.html

SQL
• https://mode.com/sql-tutorial/introduction-to-sql
• https://t.me/mysqldata

Big Data
• https://spark.apache.org/docs/latest
• https://hadoop.apache.org

Deployment
• https://docs.streamlit.io
• https://fastapi.tiangolo.com


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1️⃣ Artificial Intelligence
📎 Channel Link:
[ https://t.me/artificialintelligence_official ]

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2️⃣ Programming Books
📎 Channel Link:
[ https://t.me/programmingbooksofficial ]

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3️⃣ Android Development
📎 Channel Link:
[ https://t.me/androiddevelopmentofficial ]

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4️⃣ App Development
📎 Channel Link:
[ https://t.me/appdevelopmentofficial ]

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5️⃣ Ethical Hacking
📎 Channel Link:
[ https://t.me/ethicalhacking_official ]

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