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The #1 Python Data Scientist: Sentiment Analysis & More
Разное | Автор: LeeAndro | Добавлено: 22-09-2020, 05:58 | Просмотров (14) | Комментариев (0) | Жалоба |
The #1 Python Data Scientist: Sentiment Analysis & More
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 105 lectures (16h 37m) | Size: 5.88 GB

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


..

Process text data

Interpret sennt 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!

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

No experience necessary

Learn everything you need to become a data scientist.

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

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

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

Absolutely no experience necessary. Start with a complete introduction to Python that is perfect for absolute bners 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 Bners

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 eeer'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 Sennt 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.

Anyone who needs to learn sennt analysis and more

Anyone who needs to learn Python

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Anyone who needs to graph with Python

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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



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