Course Outline

 Introduction to Python

  • Variables, Tuples and Lists
  • Loops and control statements
  • Modules and imports

Development Environment Installation

  • Installing python
  • Installing Jupyter
  • Installing python modules using Pip

Vectorizing Data in Numpy

  • Creating Numpy arrays
  • Common operations on matrices
  • Using ufuncs
  • Views and broadcasting on Numpy arrays
  • Optimizing performance by avoiding loops
  • Optimizing performance with cProfile

Data Analysis with Pandas

  • Data cleaning
  • Using vectorized data in pandas
  • Data wrangling
  • Sorting and filtering data
  • Aggregate operations
  • Analyzing time series

Data Visualization

  • Plotting diagrams with matplotlib
  • Using matplotlib from within pandas
  • Creating quality diagrams
  • Visualizing data in Jupyter notebooks
  • Other visualization libraries in Python

Using Sklearn

  • Building Supervised Learning Models
  • Building Classification Models
  • Model Training and Evaluation
  • Plotting results
  • Confusion Matrix calculation and Plotting

Introduction to Deep Learning using Keras and TensorFlow

  • Installing TensorFlow and Keras
  • Introduction to Neural Networks
  • Building and Training ANN
  • Introduction to Convolutional Neural Network
  • Building and Training Image Classifier using CNN
  • Training and Evaluating Deep Learning Models

Requirements

This course is exclusively offered to individuals who attended "Python and Data Visualization" with Ahmed on 11th February 2021

  14 Hours
 

Testimonials

Related Courses

Scaling Data Analysis with Python and Dask

  14 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

Accelerating Python Pandas Workflows with Modin

  14 hours

Machine Learning with Python and Pandas

  14 hours

FARM (FastAPI, React, and MongoDB) Full Stack Development

  14 hours

Developing APIs with Python and FastAPI

  14 hours

Web application development with Flask

  14 hours

Advanced Flask

  14 hours

Build REST APIs with Python and Flask

  14 hours

Kivy: Building Android Apps with Python

  7 hours

Game Development with PyGame

  7 hours

GUI Programming with Python and PyQt

  21 hours

Scientific Computing with Python SciPy

  7 hours

GUI Programming with Python and Tkinter

  14 hours

Web Development with Web2Py

  28 hours