دورة مدخل علوم البيانات

المصدر: Student Guide - م/ اسلام همام

• 1 | Difference between Data Engineer , Data Analyst , Data Scientist and Machine Learning Engineer مقفل 17 د
• 2 | Installing Python, Installing Anaconda, and Using Jupyter Notebooks | Data Science مقفل 15 د
• 3 | Pandas data analysis and manipulation tool | Data Science مقفل 26 د
• 4 | Matplotlib Python Library | Data Science Course مقفل 10 د
• 5 | Seaborn Python Library | Data Science Course مقفل 17 د
• 6 | Plotly Low-Code Data App Development | Data Science مقفل 9 د
• 7 | Dataset Summary | Data Science Course مقفل 17 د
• 8 | Panda Profiling - Exploratory Data Analysis | Data Science مقفل 12 د
• 9 | Handle Null or Missing Values | Data Science Course مقفل 23 د
• 10 | Outliers | Data Science Course مقفل 30 د
• 11 | Scaling Vs Transformation | Data Science Course مقفل 22 د
• 12 | Handling Imbalance Data part 2 | Data Science مقفل 18 د
• 12 | Handling Imbalance Data | Data Science مقفل 24 د
• 13 | Overfitting And Underfitting - Bias and Variance | Data Science مقفل 19 د
• 14 | Supervised Learning | Data Science Course مقفل 21 د
• 15 | Classification Metrics |Data Science Course مقفل 23 د
• 15 | Regression Metrics | Data Science Course مقفل 12 د
• 16 | Logistic Regression | Data Science Course مقفل 32 د
• 17 | KNN 'K Nearest Neighbors Algorithm' | Data Science مقفل 26 د
• 18 | Support Vector Machine | Data Science Course مقفل 28 د
• 19 | Decision Trees Part 1 | Data Science Course مقفل 19 د
• 19 | Decision Trees Part 2 | Data Science Course مقفل 17 د
• 20 | Ensemble Learning Part 1 | Data Science Course مقفل 24 د
• 20 | Ensemble Learning Part 2 | Data Science Course مقفل 23 د
• 20 | Ensemble Learning Part 3 | Data Science Course مقفل 20 د
• 21 | Unsupervised Learning | Data Science Course مقفل 14 د
• 22 | Clustering Metrics | Data Science Course مقفل 28 د