⬇️ سرفصل های دوره آموزش‌ مجازی Machine Learning with Python

🔹An introduction to Practical Data Science, Difference between Machine Learning and Data Mining
🔹Review the Best Python IDE with Application of each other.
🔹Fundamental of Python programming in Jupyter Note book
🔹Data Type and Statistical Data Analysis
🔹Present Python Libraries: numpy, pandas and Scikit-Learn
🔹Data Preparation and Data Pre-Processing in Python
🔹An Introduction to Feature Engineering and Feature Selection Techniques
🔹Data Visualization and Exploratory Data Analysis using:
🔹Supervised Learning, Classification Problems and Present Solutions
🔹Regression Analysis
🔹Unsupervised Learning, Clustering Problems and Present Solutions
🔹Model Evaluation and Improvement
🔹Hyperparameters Tuning such as: Grid Search & Random Search
🔹Recommended Rules in Deep Learning for Future Studies

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@sbu_mechatronic | اینستاگرام | آپارات | وب‌سایت