Data Science Practice Projects

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Learn Data Science with this comprehensive learning path designed for beginners. These Data Science Courses provide a structured roadmap for exploring data analysis and interpretation. Master essential concepts and tools through hands-on, non-video lessons and practical exercises in an interactive playground, strengthening skills in statistical analysis, machine learning, and data visualization.

Explore Projects on LabEx

Projects

Explore 38 beginner-friendly Data Science projects that turn core language concepts into small, complete programs. Each project opens in LabEx with a ready-to-use environment, so you can focus on building instead of setup.

Index	Project	Difficulty	Practice
01	100 Pandas Exercises	Beginner	Start project
02	Pandas for Beginners	Beginner	Start project
03	Supervised Learning: Regression	Beginner	Start project
04	NumPy for Beginners	Beginner	Start project
05	100 NumPy Exercises	Beginner	Start project
06	Scikit-learn for Beginners	Beginner	Start project
07	Matplotlib for Beginners	Beginner	Start project
08	Pandas Practice Challenges	Beginner	Start project
09	NumPy Practice Challenges	Beginner	Start project
10	Quick Start with TensorFlow	Beginner	Start project
11	Supervised Learning: Classification	Beginner	Start project
12	Foundations of Deep Learning	Beginner	Start project
13	Unsupervised Learning: Clustering	Beginner	Start project
14	Quick Start with Hadoop	Beginner	Start project
15	Gravitational Simulation of Earth and Super Jupiter	Beginner	Start project
16	Seaborn Data Visualization Basics	Beginner	Start project
17	Credit Card Holder Risk Prediction	Beginner	Start project
18	Classifying Iris Using SVM	Beginner	Start project
19	Sklearn Practice Challenges	Beginner	Start project
20	Data Cleaning and Purification with Python	Beginner	Start project
21	Deploying MobileNet With TensorFlow.js and Flask	Beginner	Start project
22	Hadoop Practice Labs	Beginner	Start project
23	Implementation of Polynomial Regression	Beginner	Start project
24	Simple Handwritten Character Recognition Classifier	Beginner	Start project
25	Early Stopping for Machine Learning	Beginner	Start project
26	Linear Regression Fitting and Plotting	Beginner	Start project
27	Optimizing Gradient Descent for Global Optimization	Beginner	Start project
28	Ordinary Least Squares in Python	Beginner	Start project
29	Encoding Label to One-Hot	Beginner	Start project
30	Implementing Minkowski Distance Metric	Beginner	Start project
31	Implementing Confusion Matrix for Classification	Beginner	Start project
32	Hadoop Practice Challenges	Beginner	Start project
33	One Cut Into Two	Beginner	Start project
34	Nonlinear Regression Model Estimation	Beginner	Start project
35	K-Nearest Neighbors Regression Algorithm Implementation	Beginner	Start project
36	Balanced Batch Generation for Imbalanced Datasets	Beginner	Start project
37	Divide Dataset Into Mini-Batches	Beginner	Start project
38	Broad Listening Leads to Insight	Beginner	Start project

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