هنا نهتم بتعلم مجالات الذكاء الاصطناعي وتعلم الآلة والتعلم العميق بكل فروعه النظرية والعملية من خلال البرمجة بلغة البايثون وسيتم تغطية كل ما يخص مجال الـ Data Science & Data Analysis وهيكون من خلال الادوات المختلفة لتحقيق ذلك من Excel, Tableau, Power BI, SPSS, SAS وغيرها من الادوات
أرجو منكم صالح الدعاء

#5 Python Libraries for Data Analysis || Numpy Part 5
27:59
#5 Python Libraries for Data Analysis || Numpy Part 5
#4 Python Libraries for Data Analysis || Numpy Part 4
21:01
#4 Python Libraries for Data Analysis || Numpy Part 4
#3 Python Libraries for Data Analysis || Numpy Part 3
24:24
#3 Python Libraries for Data Analysis || Numpy Part 3
#2 Python Libraries for Data Analysis || Numpy Part 2
28:34
#2 Python Libraries for Data Analysis || Numpy Part 2
#1 Python Libraries for Data Analysis || Numpy Part 1
24:39
#1 Python Libraries for Data Analysis || Numpy Part 1
الأساسيات النظرية لتعلم الآلة كاملة في فيديو واحد || Machine Learning Complete Course
7:42:49
الأساسيات النظرية لتعلم الآلة كاملة في فيديو واحد || Machine Learning Complete Course
#46 Machine Learning || Introduction to The Reinforcement Learning
7:52
#46 Machine Learning || Introduction to The Reinforcement Learning
#45 Unsupervised Learning || Principle Component Analysis PCA
7:37
#45 Unsupervised Learning || Principle Component Analysis PCA
#44 Unsupervised Learning || Anomaly Detection || Finding Unusual Events
10:08
#44 Unsupervised Learning || Anomaly Detection || Finding Unusual Events
#43 Unsupervised Learning || Clustering || K-means Intuition
11:09
#43 Unsupervised Learning || Clustering || K-means Intuition
#42 Machine Learning || Decision Trees vs Neural Networks
3:01
#42 Machine Learning || Decision Trees vs Neural Networks
#41 Machine Learning || Decision Tree || Sampling with replacement || Random Forest Algo. || XGBoost
15:09
#41 Machine Learning || Decision Tree || Sampling with replacement || Random Forest Algo. || XGBoost
#40 Machine Learning || Decision Tree || Regression Trees
9:11
#40 Machine Learning || Decision Tree || Regression Trees
#39 Machine Learning || Decision Tree || Continuous Valued Features
12:28
#39 Machine Learning || Decision Tree || Continuous Valued Features
#38 Machine Learning || Decision Tree || Using one hot encoding of categorical features
5:58
#38 Machine Learning || Decision Tree || Using one hot encoding of categorical features
Machine Learning || Building a Decision Tree Model
8:08
Machine Learning || Building a Decision Tree Model
Machine Learning || Decision Tree || Measuring Purity || Entropy || Information Gain
17:53
Machine Learning || Decision Tree || Measuring Purity || Entropy || Information Gain
Machine Learning || Decision Tree Learning Process
11:23
Machine Learning || Decision Tree Learning Process
Machine Learning || Introduction to Decision Trees
8:21
Machine Learning || Introduction to Decision Trees
Machine Learning || Improving The Learning Algorithm
12:43
Machine Learning || Improving The Learning Algorithm
Machine Learning || A Baseline Level of Performance || Learning Curves
16:00
Machine Learning || A Baseline Level of Performance || Learning Curves
Machine Learning || Regularization with Bias and Variance
8:14
Machine Learning || Regularization with Bias and Variance
Machine Learning || Bias and Variance
10:24
Machine Learning || Bias and Variance
Machine Learning || Model Selection
12:17
Machine Learning || Model Selection
Machine Learning || Machine Learning Diagnostic || Evaluating The Model
14:13
Machine Learning || Machine Learning Diagnostic || Evaluating The Model
Machine Learning || Advanced Optimization || Adam algorithm
6:10
Machine Learning || Advanced Optimization || Adam algorithm
Multi-class Classification || softmax Regression || Multi-Lable Classification
17:09
Multi-class Classification || softmax Regression || Multi-Lable Classification
Machine Learning || Neural Networks || Activation Functions
14:55
Machine Learning || Neural Networks || Activation Functions
Machine Learning || Neural Networks in details
14:42
Machine Learning || Neural Networks in details
Machine Learning || Introduction to Neural Networks
10:07
Machine Learning || Introduction to Neural Networks