Cours en ligne de détails
Description
Ce que vous allez apprendre
Afin de profiter pleinement du cours , vous devez remplir les critères suivants
Lessons
- Trailer 00:55
- Intro to Data Co-Lab 01:26
- Intro to ML 02:55
- Supervised Learning 02:37
- Unsupervised Learning 01:56
- Weather Forecasting 01:37
- Weather Forecasting: Normal Distribution 01:42
- Weather Forecasting: Synthetic Data 01:27
- Python example : Weather Forecasting 1 04:00
- Weather Forecasting: OverSampling and Undersampling 02:18
- Weather Forecasting: Regression 01:28
- Weather Forecasting: Classification 03:20
- Weather Forecasting: KNN 03:34
- Python example : Weather Forecasting 2 03:45
- Naive Bayes 01:53
- Naive Bayes example 02:23
- Building a Decision Tree part 2 04:10
- Pros and Cons Naive Bayes 01:39
- Naive Bayes Example Python 04:08
- Decision Tree 03:32
- Building a Decision Tree 02:23
- Another Decision Tree algorithm 03:09
- Decision Tree: Random Forest 01:46
- Apriori 04:43
- Apriori Pros and Cons 01:33
- Python Example: Apriori 04:02
- Topic Modeling Intro 00:36
- Topic Modeling: Part 1 00:54
- Topic Modeling: Preprocessing 03:49
- Topic Modeling: TF-IDF 01:37
- Topic Modeling: TF-IDF 2 04:45
- Topic Modeling: Dimensionality Reduction 03:38
- Topic Modeling: K-Means 05:22
- Topic Modeling: LDA 02:47
- Topic Modeling: LDA part 2 04:25
- Pyhon example : Topic Modeling 1 03:38
- Python example : Topic Modeling 2 04:02
Enseignant
Data Co-Lab
Data Co-Lab is the first Data Science lab in Tunisia. Our goal is to empower AI culture in our country. Data Co-Lab is composed of 3 departments: - Learning lab that provides an accelerated 2-month training program for beginners - Engineering lab in which we do AI projects related to different fields - Research department in which we work on research papers and research projects.
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