Lianne & Justin @ Just into Data

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[Lianne & Justin @ Just into Data @JustintoData]

Hey, want to start a successful #DataScience career? Don't know where to start?
Try this FREE #Python #onlinelearning course, beginner-friendly!
Learn Python basics and be ready for #MachineLearning, #DeepLearning.
Click https://t.co/nTT6GUThrY.

[Lianne & Justin @ Just into Data @JustintoData]

How to handle Imbalanced Data in machine learning classification - 6 techniques
https://t.co/MYga7desnl

[Lianne & Justin @ Just into Data @JustintoData]

How to Send Emails automatically using Python - Learn with examples | Plain text, HTML with attachments
https://t.co/mSrN1glKX7

[Lianne & Justin @ Just into Data @JustintoData]

How to generate reports with Python automatically, as Excel, HTML, PDF
https://t.co/UjW6zWISYP

[Lianne & Justin @ Just into Data @JustintoData]

Check out our new YouTube series Data Science Project from scratch. Brainstorm ideas -> Collect data (NBA games) -> Clean and Explore data (feature engineering) -> Build a predictive model -> Deploy the model with FastAPI -> Create a web app with Dash
https://t.co/gDwn0PwxYw

[Lianne & Justin @ Just into Data @JustintoData]

More and more companies are moving to the Cloud. Google Cloud Platform is one of the top choices.
Check out our tutorial on why and how to use Jupyter Notebook on its AI platform.
https://t.co/QbMbBvkFNN

[Lianne & Justin @ Just into Data @JustintoData]

#Python Data Analysis (including visualizations) demo Project
https://t.co/B3Q5i5Ko0p

[Lianne & Justin @ Just into Data @JustintoData]

New learn Python for data analysis course.
Click to uncover 8+ hours of HD video lectures, detailed code notebooks, 3 guided practice projects, based on multiple real-world datasets.
FREE only for the next three days.
https://t.co/5hFJEZcWTb

[Lianne & Justin @ Just into Data @JustintoData]

The random forests are powerful, popular, and easy-to-use algorithms for predictive modeling in #MachineLearning.
Learn the basics and try it out in Python.
https://t.co/hfTZdaAtnm

[Lianne & Justin @ Just into Data @JustintoData]

Explore how to grab data for analysis by web scraping in Python.
https://t.co/gEnwB3wVPK

[Lianne & Justin @ Just into Data @JustintoData]

Learn how to build interactive, easy-to-share web dashboards with data visualizations, all in #Python with plotly Dash.
https://t.co/oNEst4Kgyo

[Lianne & Justin @ Just into Data @JustintoData]

How to use Twitter data for #MachineLearning sentiment analysis in #Python?
Discover and apply the end-to-end process with an example in this tutorial.
https://t.co/jQq8bS0QF8

[Lianne & Justin @ Just into Data @JustintoData]

Getting data is critical for #MachineLearning, #DataScience . Large websites like Twitter, Yelp often offer APIs, which provide convenient data exposure. How to request data from these APIs in #Python?
https://t.co/4svW6KURvN

[Lianne & Justin @ Just into Data @JustintoData]

Learn how to build a #machinelearning logistic regression model in #Python step-by-step, with a real-world dataset.
https://t.co/6U20fosCIX

[Lianne & Justin @ Just into Data @JustintoData]

How to check the #MachineLearning model performance? Learn these 8 popular Evaluation Metrics. https://t.co/jVORhgBoP5

[Lianne & Justin @ Just into Data @JustintoData]

Step up on your Python skills with these 10 helpful Python Tips and Tricks for Beginners.
https://t.co/vQSdzwQN9O

[Lianne & Justin @ Just into Data @JustintoData]

If you are looking to apply machine learning or data science in the industry, check out this guide, which will help you better understand what to expect. https://t.co/HEzczjJA5k

[Lianne & Justin @ Just into Data @JustintoData]

Learn #SQL commands for database management, with examples for practice.
https://t.co/OSJ7k5FFCy

[HackerNoon | Learn Any Technology @hackernoon]

"6 Important Python Libraries for Data Science and ML" by @JustintoData https://t.co/cNXMqn1GRq #python #machinelearning

[Lianne & Justin @ Just into Data @JustintoData]

It's critical that the result of your model can generalize to other datasets. Cross-validation is one of the simplest and commonly used techniques that can validate models based on these criteria. #MachineLearning
https://t.co/3A0IHINCye

[Lianne & Justin @ Just into Data @JustintoData]

Learn and master the top 6 must-know #Python libraries for #MachineLearning, and #DataScience with this list contains references and examples. @hackernoon
https://t.co/BsDYDzSucS