Notes and project source code from my training "Data Science & Engineering - Fullstack" at JEDHA

• Come after the Essential Training
  • Notes and projetcs source code
• 12 weeks
• march 18 - june 18 2024

Main topics

• Python Programming
  • classes, git
• Exploratory Data Analysis
  • numpy
  • pandas
  • plotly
• Data Collection and Management
  • HTTP
  • API
  • Scraping
  • AWS S3 Boto3
  • AWS RDS SQLAlchemy
• Big Data
  • RDDs (Resilient Distributed Datasets)
  • Databricks, Tidy, SparkSQL, pgAdmin
  • Spark, PySpark
  • AWS RedShift
• Supervised Machine Learning
  • Sklearn
  • Linear Regression
  • Regularization and Hyperparamter optimization
  • Logistic Regression
  • Decision Tree, Random Forest
  • SVM support vector machine
  • Ensemble Learning AdaBoost XGBoost
  • Model Selection et Evaluation
  • Times Series
• Unsupervised Machine Learning
  • kMeans
  • DBSCAN
  • PCA
  • NLP Natural Language Processing for unsupervised learning
  • Topic Modeling
• Deep Learning
  • Gradient Descent
  • Neural Networks
  • TensorFlow, Keras
  • CNN Convolutiional Neural Network
  • Transfer Learning
  • GAN
  • Word Embedding, Word2Vec
  • RNN Recurrent Neural Network
  • Encoder Decoder
  • Attention
• Deployment
  • Local Dev
  • Dashboard Streamlit
  • Docker
  • Deploy to Heroku
  • MLFlow
  • Package & Serve models
  • API for your model ...