Python For Everything..❤️ #datascience #Machinelearning #AI #Python #libraries #frameworks #Data #DeepLearning
Complete Roadmap to learn Python in 2024 Save this post for future reference ✅ 1. Introduction to Python: - Variables, data types, and basic operations. - Control structures (if statements, loops). - Functions and modules. 2. NumPy: - Array creation and manipulation. - Mathematical operations on arrays. - Indexing and slicing. 3. Pandas: - Series and DataFrame basics. - Data cleaning and manipulation. - Grouping and aggregation. 4. Matplotlib and Seaborn: - Data visualization using line plots, bar charts, and scatter plots. - Customizing plots and adding labels. 5. Data Cleaning and Preprocessing: - Handling missing data. - Removing duplicates. - Data normalization and scaling. 6. Statistical Analysis with Python: - Descriptive statistics. - Inferential statistics and hypothesis testing. 7. Scikit-Learn: - Introduction to machine learning. - Supervised and unsupervised learning algorithms. - Model evaluation and validation. 8. Time Series Analysis: - Working with time series data. - Seasonality and trend analysis. - Forecasting techniques. 9. Web Scraping with BeautifulSoup and Requests: - Extracting data from websites. - Web scraping ethics and best practices. 10. SQL for Data Analysis: - Basics of SQL. - Querying databases with Python. 11. Advanced Data Visualization: - Interactive visualizations with Plotly. - Geospatial data visualization. 12. Machine Learning for Data Analysis: - Feature engineering. - Model tuning and optimization. 13. Deep Learning Basics: - Introduction to neural networks. - Using TensorFlow or PyTorch for deep learning. 14. Natural Language Processing (NLP): - Text processing and analysis. - Sentiment analysis and text classification. 15. Big Data Technologies (Optional): - Apache Spark basics. - Working with large datasets. Remember, practical application and real-world projects are very important to master these topics. You can refer these amazing resources for Python Interview Preparation. Like this post if it helps 👍♥️ Python Free Resources 👇👇 https://t.me/pythonanalyst Data Analytics Free Resources 👇👇 https://t.me/sqlspecialist Hope it helps :)