Data Science 101 - Machine Lea
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Data Science 101 - Machine Lea
Data Science 101 - Machine Lea

Data Science 101 - Machine Lea

Learn Data Science and Machine Learning with good quality resources.

Developer: Successcrazzy
App Size: Varies With Device
Release Date: Nov 7, 2017
Price: Free
4.0
767 Ratings
Size
Varies With Device

Screenshots for App

Mobile
Data Science 101 is an educational app to learn machine learning algorithms. Due to data science and artificial intelligence, new technologies are emerging and there is need for more specialization in this field.

This app is a beginner guide for anyone who wants to study data science and make their own machine learning models.
This app provides high quality resources for students to study data science and machine learning algorithms and also provides required code.

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Features:
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1. Learn various machine learning algorithms:
a. Linear Regression
b. k-means Clustering
c. KNN
d. SVM
e. Naive Bayes
f. Decision Trees

2. Includes code for developing models of various machine learning algorithms in Python.
Different datasets are used to develop models so that students can understand which algorithms to use.

3. Learn to develop various data science projects. Various projects are included in the application so that students can relate concepts with real life problems.
Some projects include:
a. Sentiment analysis
b. Web Scraping
c. Handwritten digit recognition

4. Learn various scientific libraries(Numpy, Pandas, Matplotlib).

There are many references available if students wants to study some concepts deeply.

Download this app and start learning for free.
If you really like this app then share it with your friends and give it a positive rating.
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Data Science 101 - Machine Lea 1.2 Update
2018-02-04 Version History
Bug Fixes
New Algorithms added

~Successcrazzy
More Information about: Data Science 101 - Machine Lea
Price: Free
Version: 1.2
Downloads: 133852
Compatibility: Android 4.0.3
Bundle Id: com.successcrazzy.datascience101
Size: Varies With Device
Last Update: 2018-02-04
Content Rating: Everyone
Release Date: Nov 7, 2017
Content Rating: Everyone
Developer: Successcrazzy


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