Learn Python For Data Science W/ Search & Recommender Algos!

Learn Python For Data Science W/ Search & Recommender Algos!, available at $39.99, has an average rating of 3.95, with 31 lectures, 14 quizzes, based on 44 reviews, and has 5387 subscribers.

You will learn about Write functional Python scripts. Perform mining of keywords from text documents. Create a simple recommender algorithm. This course is ideal for individuals who are Aspiring data scientists with no prior experience coding in Python. It is particularly useful for Aspiring data scientists with no prior experience coding in Python.

Enroll now: Learn Python For Data Science W/ Search & Recommender Algos!

Summary

Title: Learn Python For Data Science W/ Search & Recommender Algos!

Price: $39.99

Average Rating: 3.95

Number of Lectures: 31

Number of Quizzes: 14

Number of Published Lectures: 31

Number of Published Quizzes: 14

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: $174.99

Quality Status: approved

Status: Live

What You Will Learn

Write functional Python scripts.
Perform mining of keywords from text documents.
Create a simple recommender algorithm.

Who Should Attend

Aspiring data scientists with no prior experience coding in Python.

Target Audiences

Aspiring data scientists with no prior experience coding in Python.

This course covers the basic data science skills of python and text mining of keywords. The student will also learn simple search and recommendation algorithms. Data processing, calculations, and analysis related to keyword extraction will be taught using a hands-on project / coding test based approach. Python will be taught in a systematic, example based method using the text dataset included especially for this course. In addition to python, the exercises will include application of skills using the emacs editor. The course should greatly benefit anybody interested in learning how to code, and especially for aspiring data scientists.

Course Curriculum

Chapter 1: Kickstart Your Python!

Lecture 1: Why Python For Data Science?

Lecture 2: The Dataset For This Course

Lecture 3: Open The Text File

Lecture 4: The Python List

Lecture 5: What's Emacs?

Lecture 6: Your First Python Script

Chapter 2: Programming Basics

Lecture 1: Overview Of Programming Basics

Lecture 2: Practice The Loop

Lecture 3: Basic String Functions

Lecture 4: Conditional Statements

Chapter 3: Term Frequency Analysis

Lecture 1: Overview Of Term Frequency Analysis

Lecture 2: The Python Dictionary

Lecture 3: Bag Of Words

Lecture 4: Term Frequency Analysis

Lecture 5: Python User Defined Functions and Style

Chapter 4: Basic Keyword Extraction

Lecture 1: What Defines A Keyword?

Lecture 2: Term Importance Algorithm

Lecture 3: Sorting A Dictionary By Values

Lecture 4: Keyword Algorithm

Chapter 5: Basic Search Algorithm

Lecture 1: Search In A Nutshell

Lecture 2: Inverted Index

Lecture 3: User Input Prompt

Lecture 4: Search Results Ranking Algorithm

Lecture 5: Simple Search Engine

Chapter 6: Basic Recommendation Algorithm

Lecture 1: Recommendation In A Nutshell

Lecture 2: Unit Vector Normalization

Lecture 3: Unit Vector Formation

Lecture 4: Dot Product

Lecture 5: Simple Recommender System

Chapter 7: Course Wrap Up

Lecture 1: Final Exam

Lecture 2: Bonus Lecture: Improving Relevance With Predictive Modeling

Instructors

Larry Wai
VP Data Science at Chegg

Rating Distribution

1 stars: 3 votes
2 stars: 4 votes
3 stars: 4 votes
4 stars: 12 votes
5 stars: 21 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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