The #1 Python Data Scientist: Sentiment Analysis & More

Build Projects with Machine Learning, Text Classification, TensorFlowNumPy, PyPlot, Pandas, and More in Google Colab…

What you'll learn

Process text data
Interpret sentiment in reviews
Build a model to predict whether a review is positive or negative
Implement logic
Track data
Customize graphs
Implement responsiveness
Build data structures
Graph data with PyPlot
Build 3D graphs with PyPlot
Use common array functions
Replace Python lists with NumPy arrays
Build and use NumPy arrays
Use Pandas series
Use Pandas Date Ranges
Read CSVs with Pandas
Use Pandas DataFrames
Get elements from a Series
Get properties from a series
Series operations
Modify series
Series comparisons and iteration
Series operations
And much more!


Requirements

No OS requirement but the tutorials are recorded on a Mac with Google Colab
No experience necessary

Description

Learn everything you need to become a data scientist.

Machine learning is quickly becoming a required skill for every software developer.

Enroll now to learn everything you need to know to get up to speed, whether you're a developer or aspiring data scientist. This is the course for you.

Your complete Python course for image recognition, data analysis, data visualization and more.

Reviews On Our Python Courses:

"I know enough Python to be dangerous. Most of the ML classes are so abstract and theoretical that no learning happens. This is the first class where we use concrete examples that I can relate to and allow me to learn. Absolutely love this course!" - Mary T.


"Yes, this is an amazing start. For someone new in python this is a very simple boot course. I am able to relate to my earlier programming experience with ease!" - Gajendran C.


"Clear and concise information" - Paul B.


"Easy to understand and very clear explanations. So far so good!!!" - Alejandro M.

This is a once in a lifetime chance to enroll in a massive course.

Absolutely no experience necessary. Start with a complete introduction to Python that is perfect for absolute beginners and can also be used a review.

Jump into using the most popular libraries and frameworks for working with Python. You'll learn everything you need to become a data scientist. This includes:

0. Python Crash Course for Beginners

Learn Python with project based examples. Get up and running even if you have no programming experience. Superboost your career by masterig the core Python fundamentals.

1. Data Science with NumPy

Build projects with NumPy, the #1 Python library for data science providing arrays and matrices.

2. Data Analysis with Pandas

Build projects with pandas, a software library written for the Python programming language for data manipulation and analysis.

2. Data Visualization with PyPlot

Build projects with pyplot, a MATLAB-like plotting framework enabling you to create a figure, create a plotting area in a figure, plot lines in a plotting area, decorate the plot with labels and much more. Learn it all in this massive course.

3. Machine Learning Theory

Machine learning is in high demand and is quickly becoming a requirement on every software engineer's resume. Learn how to solve problems with machine learning before diving into practical examples.

4. Introduction to TensorFlow

Build projects with TensorFlow, the most popular platform enabling ML developers to build and deploy machine learning applications such as neural networks. Build your first linear regression model with TensorFlow. Learn how to build a dataset, model, train and test!

5. Build a Sentiment Analysis Model to Classify Reviews as Positive or Negative

All source code is included for each project.

If you buy one course this year, this is it. Sign up while spots are open.

Who this course is for:

Anyone who needs to learn sentiment analysis and more
Anyone who needs to learn Python
Anyone who needs to know more about machine learning
Anyone who needs to graph with Python
Anyone with no Python experience
Anyone who needs an efficient way to analyze data
Anyone with little to no programming experience
Anyone who wants to use efficient arrays
Anyone with little to no knowledge of machine learning