WeCours > Development > Data Science > Bootcamp Python pour la data science et machine learning
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Bootcamp Python pour la data science et machine learning

Apprenez à utiliser NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , et plus encore !
Instructeur :
Mahefa Abel
English En savoir plus
Utiliser Python pour la science des données et l'apprentissage automatique
Utiliser Spark pour l'analyse de Big Data
Implémenter des algorithmes d'apprentissage automatique
Apprenez à utiliser NumPy pour les données numériques
Apprenez à utiliser Pandas pour l'analyse de données
Apprenez à utiliser Matplotlib pour le traçage Python
Apprenez à utiliser Seaborn pour les graphiques statistiques
Utilisez Plotly pour des visualisations dynamiques interactives
Utiliser SciKit-Learn pour les tâches d'apprentissage automatique
K-Means Clustering
Régression logistique
Régression linéaire
Forêt aléatoire et arbres de décision
Traitement du langage naturel et filtres anti-spam
Les réseaux de neurones
Machines à vecteurs de soutien

Êtes-vous prêt à commencer votre parcours pour devenir Data Scientist !

Ce cours complet sera votre guide pour apprendre à utiliser la puissance de Python pour analyser des données, créer de superbes visualisations et utiliser de puissants algorithmes d’apprentissage automatique !

Data Scientist a été classé premier emploi sur Glassdoor et le salaire moyen d’un data scientist est de plus de 120 000 $ aux États-Unis selon Indeed ! La science des données est une carrière enrichissante qui vous permet de résoudre certains des problèmes les plus intéressants au monde !

Ce cours est conçu pour les débutants avec une certaine expérience en programmation ou développeurs expérimentés cherchant à faire le saut vers la science des données !

Ce cours complet est comparable aux autres bootcamps de science des données qui coûtent généralement des milliers de dollars, mais maintenant vous peut apprendre toutes ces informations à une fraction du coût ! Avec plus de 100 conférences vidéo HD et des cahiers de code détaillés pour chaque conférence , c’est l’un des cours les plus complets pour la science des données et l’apprentissage automatique sur WeCours !

Nous vous apprendrons à programmer avec Python, à créer des visualisations de données étonnantes et à utiliser le Machine Learning avec Python ! Voici quelques-uns des sujets que nous allons apprendre :

  • Programmer avec Python
  • NumPy avec Python
  • Utiliser des cadres de données pandas pour résoudre des tâches complexes
  • Utiliser des pandas pour gérer des fichiers Excel
  • Web scraping avec python
  • Connecter Python à SQL
  • Utilisez matplotlib et seaborn pour les visualisations de données
  • Utilisez plotly pour des visualisations interactives
  • Apprentissage automatique avec SciKit Learn, y compris :
  • Régression linéaire
  • K voisins les plus proches
  • K signifie regroupement
  • Arbres de décision
  • Forêts aléatoires
  • Traitement du langage naturel
  • Les réseaux de neurones et l’apprentissage en profondeur
  • Machines à vecteurs compatibles
  • et bien plus encore !

Inscrivez-vous au cours et devenez un data scientist aujourd’hui !

 

Course Introduction

1
Introduction to the Course
2
Course Help and Welcome

Just a quick thank you and how to get help in the course!

3
Course FAQs

Check out FAQs for the course!

Environment Set-Up

1
Python Environment Setup

Learn how to install Python and Anaconda and get your system setup.

Jupyter Overview

1
Updates to Notebook Zip
2
Jupyter Notebooks

Learn about the Jupyter Notebook System!

3
Optional: Virtual Environments

Optional Lecture on Virtual Environments

Python Crash Course

1
Welcome to the Python Crash Course Section!

Just a quick introduction of the section from me personally!

2
Introduction to Python Crash Course

Get a quick Crash Course in Python!

3
Python Crash Course - Part 1

Get a quick Crash Course in Python!

4
Python Crash Course - Part 2

Get a quick Crash Course in Python!

5
Python Crash Course - Part 3

Get a quick Crash Course in Python!

6
Python Crash Course - Part 4

Get a quick Crash Course in Python!

7
Python Crash Course Exercises - Overview

Get a quick Crash Course in Python!

8
Python Crash Course Exercises - Solutions

Get a quick Crash Course in Python!

Python for Data Analysis - NumPy

1
Welcome to the NumPy Section!

Just a quick introduction of the section from me personally!

2
Introduction to Numpy

Part of the NumPy Section of the Course!

3
Numpy Arrays

Part of the NumPy Section of the Course!

4
Quick Note on Array Indexing

Quick note on Numpy Array!

5
Numpy Array Indexing

Part of the NumPy Section of the Course!

6
Numpy Operations

Part of the NumPy Section of the Course!

7
Numpy Exercises Overview

Part of the NumPy Section of the Course!

8
Numpy Exercises Solutions

Part of the NumPy Section of the Course!

Python for Data Analysis - Pandas

1
Welcome to the Pandas Section!

Just a quick introduction of the section from me personally!

2
Introduction to Pandas

Part of the Pandas Section of the Course!

3
Series

Part of the Pandas Section of the Course!

4
DataFrames - Part 1

Part of the Pandas Section of the Course!

5
DataFrames - Part 2

Part of the Pandas Section of the Course!

6
DataFrames - Part 3

Part of the Pandas Section of the Course!

7
Missing Data

Part of the Pandas Section of the Course!

8
Groupby

Part of the Pandas Section of the Course!

9
Merging Joining and Concatenating

Part of the Pandas Section of the Course!

10
Operations

Part of the Pandas Section of the Course!

11
Data Input and Output

Part of the Pandas Section of the Course!

Python for Data Analysis - Pandas Exercises

1
Note on SF Salary Exercise

Quick Note!


2
SF Salaries Exercise Overview

Challenge yourself with some Pandas Exercises!

3
SF Salaries Solutions

Challenge yourself with some Pandas Exercises!

4
Ecommerce Purchases Exercise Overview

Challenge yourself with some Pandas Exercises!

5
Ecommerce Purchases Exercise Solutions

Challenge yourself with some Pandas Exercises!

Python for Data Visualization - Matplotlib

1
Welcome to the Data Visualization Section!

Just a quick introduction of the section from me personally!

2
Introduction to Matplotlib

Learn about Data Visualization with Matplotlib and Python!

3
Matplotlib Part 1

Learn about Data Visualization with Matplotlib and Python!

4
Matplotlib Part 2

Learn about Data Visualization with Matplotlib and Python!

5
Matplotlib Part 3

Learn about Data Visualization with Matplotlib and Python!

6
Matplotlib Exercises Overview

Learn about Data Visualization with Matplotlib and Python!

7
Matplotlib Exercises - Solutions

Learn about Data Visualization with Matplotlib and Python!

Python for Data Visualization - Seaborn

1
Introduction to Seaborn

Learn about Data Visualization with Seaborn and Python!

2
Distribution Plots

Learn about Data Visualization with Seaborn and Python!

3
Categorical Plots

Learn about Data Visualization with Seaborn and Python!

4
Matrix Plots

Learn about Data Visualization with Seaborn and Python!

5
Grids

Learn about Data Visualization with Seaborn and Python!

6
Regression Plots

Learn about Data Visualization with Seaborn and Python!

7
Style and Color

Learn about Data Visualization with Seaborn and Python!

8
Seaborn Exercise Overview

Learn about Data Visualization with Seaborn and Python!

9
Seaborn Exercise Solutions

Learn about Data Visualization with Seaborn and Python!

Python for Data Visualization - Pandas Built-in Data Visualization

1
Pandas Built-in Data Visualization

Learn about Data Visualization with Pandas and Python!

2
Pandas Data Visualization Exercise

Learn about Data Visualization with Pandas and Python!

3
Pandas Data Visualization Exercise- Solutions

Learn about Data Visualization with Pandas and Python!

Python for Data Visualization - Plotly and Cufflinks

1
Introduction to Plotly and Cufflinks

Learn about Data Visualization with Plotly and Python!

2
READ ME FIRST BEFORE PLOTLY PLEASE!
3
Plotly and Cufflinks

Learn about Data Visualization with Plotly and Python!

Python for Data Visualization - Geographical Plotting

1
Introduction to Geographical Plotting

Learn how to create Geographical Plots!

2
Choropleth Maps - Part 1 - USA

Learn how to create Geographical Plots!

3
Choropleth Maps - Part 2 - World

Learn how to create Geographical Plots!

4
Choropleth Exercises

Learn how to create Geographical Plots!

5
Choropleth Exercises - Solutions

Learn how to create Geographical Plots!

Data Capstone Project

1
Welcome to the Data Capstone Projects!

Just a quick introduction of the section from me personally!

2
911 Calls Project Overview

Take everything you know and work on a Capstone Project!

3
911 Calls Solutions - Part 1

Take everything you know and work on a Capstone Project!

4
911 Calls Solutions - Part 2

Take everything you know and work on a Capstone Project!

5
Bank Data

quick note

6
Finance Data Project Overview

Take everything you know and work on a Capstone Project!

7
Finance Project - Solutions Part 1

Take everything you know and work on a Capstone Project!

8
Finance Project - Solutions Part 2

Take everything you know and work on a Capstone Project!

9
Finance Project - Solutions Part 3

Take everything you know and work on a Capstone Project!

Introduction to Machine Learning

1
Welcome to Machine Learning. Here are a few resources to get you started!

Check out ISLR

2
Welcome to the Machine Learning Section!

Just a quick introduction of the section from me personally!

3
Supervised Learning Overview
4
Evaluating Performance - Classification Error Metrics
5
Evaluating Performance - Regression Error Metrics
6
Machine Learning with Python

Master Machine Learning with Python!

Linear Regression

1
Linear Regression Theory

Learn Linear Regression with Python!

2
model_selection Updates for SciKit Learn 0.18

Just a quick Note!

3
Linear Regression with Python - Part 1

Learn Linear Regression with Python!

4
Linear Regression with Python - Part 2

Learn Linear Regression with Python!

5
Linear Regression Project Overview

Learn Linear Regression with Python!

6
Linear Regression Project Solution

Learn Linear Regression with Python!

Cross Validation and Bias-Variance Trade-Off

1
Bias Variance Trade-Off

Learn about the Bias Variance Trade Off

Logistic Regression

1
Logistic Regression Theory

Learn Logistic Regression with Python!

2
Logistic Regression with Python - Part 1

Learn Logistic Regression with Python!

3
Logistic Regression with Python - Part 2

Learn Logistic Regression with Python!

4
Logistic Regression with Python - Part 3

Learn Logistic Regression with Python!

5
Logistic Regression Project Overview

Learn Logistic Regression with Python!

6
Logistic Regression Project Solutions

Learn Logistic Regression with Python!

K Nearest Neighbors

1
KNN Theory

Learn K Nearest Neighbors with Python!

2
KNN with Python

Learn K Nearest Neighbors with Python!

3
KNN Project Overview

Learn K Nearest Neighbors with Python!

4
KNN Project Solutions

Learn K Nearest Neighbors with Python!

Decision Trees and Random Forests

1
Introduction to Tree Methods

Learn Tree Methods with Python!

2
Decision Trees and Random Forest with Python

Learn Tree Methods with Python!

3
Decision Trees and Random Forest Project Overview

Learn Tree Methods with Python!

4
Decision Trees and Random Forest Solutions Part 1

Learn Tree Methods with Python!

5
Decision Trees and Random Forest Solutions Part 2

Learn Tree Methods with Python!

Support Vector Machines

1
SVM Theory

Learn about Support Vector Machines with Python!

2
Support Vector Machines with Python

Learn about Support Vector Machines with Python!

3
SVM Project Overview

Learn about Support Vector Machines with Python!

4
SVM Project Solutions

Learn about Support Vector Machines with Python!

K Means Clustering

1
K Means Algorithm Theory

Learn about  K Means Clustering with Python!

2
K Means with Python

Learn about  K Means Clustering with Python!

3
K Means Project Overview

Learn about  K Means Clustering with Python!

4
K Means Project Solutions

Learn about  K Means Clustering with Python!

Principal Component Analysis

1
Principal Component Analysis

Learn how to perform PCA with Python!

2
PCA with Python

Learn how to perform PCA with Python!

Recommender Systems

1
Recommender Systems

Recommender Systems Section 

2
Recommender Systems with Python - Part 1

Recommender Systems Section 

3
Recommender Systems with Python - Part 2

Recommender Systems Section 

Natural Language Processing

1
Natural Language Processing Theory

Learn about Natural Language Processing with Python!

2
NLP with Python - Part 1

Learn about Natural Language Processing with Python!

3
NLP with Python - Part 2

Learn about Natural Language Processing with Python!

4
NLP with Python - Part 3

Learn about Natural Language Processing with Python!

5
NLP Project Overview

Learn about Natural Language Processing with Python!

6
NLP Project Solutions

Learn about Natural Language Processing with Python!

Neural Nets and Deep Learning

1
Download TensorFlow Notebooks Here
2
Quick Check for Notes

Sorry about this quick little check, but some students have been missing the previous lecture!

3
Welcome to the Deep Learning Section!

Just a quick introduction of the section from me personally!

4
Introduction to Artificial Neural Networks (ANN)
5
Installing Tensorflow
6
Perceptron Model
7
Neural Networks
8
Activation Functions
9
Multi-Class Classification Considerations
10
Cost Functions and Gradient Descent
11
Backpropagation
12
TensorFlow vs Keras
13
TF Syntax Basics - Part One - Preparing the Data
14
TF Syntax Basics - Part Two - Creating and Training the Model
15
TF Syntax Basics - Part Three - Model Evaluation
16
TF Regression Code Along - Exploratory Data Analysis
17
TF Regression Code Along - Exploratory Data Analysis - Continued
18
TF Regression Code Along - Data Preprocessing and Creating a Model
19
TF Regression Code Along - Model Evaluation and Predictions
20
TF Classification Code Along - EDA and Preprocessing
21
TF Classification - Dealing with Overfitting and Evaluation
22
TensorFlow 2.0 Project Options Overview
23
TensorFlow 2.0 Project Notebook Overview
24
Keras Project Solutions - Dealing with Missing Data
25
Keras Project Solutions - Dealing with Missing Data - Part Two
26
Keras Project Solutions - Categorical Data
27
Keras Project Solutions - Data PreProcessing
28
Keras Project Solutions - Data PreProcessing
29
Keras Project Solutions - Creating and Training a Model
30
Keras Project Solutions - Model Evaluation
31
Tensorboard

Big Data and Spark with Python

1
Welcome to the Big Data Section!

Just a quick introduction of the section from me personally!

2
Big Data Overview

Learn about Big Data, Spark, and how to use it with Python with Amazon Web Services!

3
Spark Overview

Learn about Big Data, Spark, and how to use it with Python with Amazon Web Services!

4
Local Spark Set-Up

Spark Set-up options for a local set-up.

5
AWS Account Set-Up

Learn about Big Data, Spark, and how to use it with Python with Amazon Web Services!

6
Quick Note on AWS Security

Just a quick note on AWS Security

7
EC2 Instance Set-Up

Set up your EC2 on AWS. Windows Users - Watch the whole lecture. Mac/Linux - Stop watching once we reach the SSH section, the next lecture will cover that for you.

8
SSH with Mac or Linux

Only watch if you are a Mac or Linux user for SSH into your AWS EC2 Instance.

9
PySpark Setup

Step by Step instructions for setting up Hadoop, Spark, and Jupyter Notebook on your EC2 Ubuntu Instance.

10
Lambda Expressions Review

Learn about Big Data, Spark, and how to use it with Python with Amazon Web Services!

11
Introduction to Spark and Python

Learn about Big Data, Spark, and how to use it with Python with Amazon Web Services!

12
RDD Transformations and Actions

Learn about Big Data, Spark, and how to use it with Python with Amazon Web Services!

BONUS SECTION: THANK YOU!

1
Bonus Lecture
Vous pouvez afficher et revoir les supports de cours indu00e9finiment, comme une chau00eene u00e0 la demande.
Absolumentu00a0! Si vous disposez d'une connexion Internet, les cours sur WeCours sont disponibles u00e0 tout moment sur n'importe quel appareil. Si vous n'avez pas de connexion Internet, certains instructeurs permettent u00e9galement u00e0 leurs u00e9tudiants de tu00e9lu00e9charger les cours. instructeur cependant, alors assurez-vous d'u00eatre de leur bon cu00f4tu00e9u00a0!
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Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed