Four-Project Series

- prerequisites
- basic Python (Jupyter Notebook, NumPy, Matplotlib, NLTK, and RegEx) • intermediate pandas
- skills learned
- feature extraction with NumPy • text vectorization with TF-IDF and SVD • feature engineering with pandas • interactive data visualization with Matplotlib • data augmentation for ML with object-oriented programming (OOP) • statistical modeling with SciPy

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The tasks you’ll tackle in this series of liveProjects are typical of tasks a data scientist/engineer would encounter in an online recruiting tech company, a large organization’s HR department, or similar environments. You’ll develop a data pipeline for processing, extracting, and transforming various types of data to be consumed by different types of users, including machine learning engineers, data analysts, and product developers. You’ll build data processing tools with NumPy, use pandas for feature extraction and engineering, use Matplotlib to explore, visualize, and analyze processed data, and build data augmentation tools to enhance the ML modeling. By the end, you’ll have already finished 80% of the work of a typical data science project. You’ll have acquired skills, experience, and confidence that will take you closer to a career in data science.

These projects are designed for learning purposes and are not complete, production-ready applications or solutions.

The techniques in the building of the data processing tool were very useful. I can use that in my work projects.

Project 1 Data Processing Tools with NumPy

As a data engineer in an online recruiting tech company or a large organization’s HR department, you’ll build a series of practical tools to process and extract useful information from unstructured text data using NumPy. You’ll learn important methods (including trie data structure, TF-IDF, SVD), how to implement them, and their applications in the real world. When you’re finished, you’ll have the know-how to build data processing tools that meet the needs of machine learning engineers, data analysts, and product developers.

$29.99
FREE

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Project 2 Pandas for Feature Extraction

Project 3 Data Visualization for Exploratory Analysis

Project 4 Data Augmentation for ML

These liveProjects are for Python beginners who are passionate about data and who would like to advance their careers as data analysts, data engineers, or data scientists. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS- Basic Python
- Basic Jupyter Notebook
- Basic NumPy
- Intermediate pandas
- Basic Matplotlib
- Basic NLTK
- Basic RegEx

- Basic matrix operations
- Basics of trie data structure
- Basics of TF-IDF, SVD
- Basics of tokenization and text cleaning
- Basics of plot types
- Basic statistics

In this liveProject series, you’ll learn to build data processing, data augmentation, feature extraction and engineering tools, and create interactive data analytics dashboards for storytelling.

- Use built-in Python modules: string, RegEx (regular expression)
- Use NumPy for different matrix operations
- Use SciPy to compute cosine similarity
- Use stats modules for probability distribution fitting
- Use pandas for dataframe operations
- Matplotlib plot type
- ipywidgets for interactive widgets

- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

includes 4 liveProjects

I believe people will want to purchase this project because it is an interesting topic at a good price.

- guess the geekle in 5-, 6-, 7- tries.
- each guess must be a valid 4-6 letter tech word. hit enter to submit.
- after each guess, the color of the tiles will change to show how close your guess was to the word.

geekle is based on a wordle clone.

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