Ementorhub

Foundations of Data Science and Machine Learning with Python

This course is part of Natural Language Processing with Real-World Projects Specialization

Instructor: Packt - Course Instructors

What you'll learn

Install and set up Python and Anaconda for NLP projects.

Understand and evaluate linear regression and gradient descent methods.

Visualize data effectively with Matplotlib and Seaborn.

Apply machine learning algorithms like linear regression and KNN to NLP tasks.

Skills you'll gain

Python Programming

Matplotlib

Data Visualization

Supervised Learning

Regression Analysis

Seaborn

NumPy

Data Structures

Machine Learning

Machine Learning Algorithms

Linear Algebra

Data Manipulation

Pandas (Python Package)

Deep Learning

Artificial Neural Networks

Natural Language Processing

There are 11 modules in this course

Strengthen your mathematical foundation with key linear algebra concepts vital for machine learning algorithms. Progress to data visualization using Matplotlib and Seaborn, interpreting and presenting data effectively. Develop a strong base in simple linear regression and gradient descent, and explore classification techniques with KNN and logistic regression through hands-on case studies. Dive into advanced machine learning algorithms, including regularization techniques and deep learning foundations, tailored for NLP applications. By course end, you'll have a robust understanding of implementing and optimizing machine learning models for NLP tasks, preparing you for advanced projects and career opportunities. Ideal for aspiring data scientists, machine learning enthusiasts, and professionals specializing in NLP, with basic Python and high school-level math knowledge required.

NumPy

Pandas

Some Fun with Math

Data Visualization

Simple Linear Regression

Gradient Descent

Classification with KNN

Logistic Regression

Advanced Machine Learning Algorithms

Introduction to Deep Learning