Data Science programming is used in various applications such as predictive modeling, natural language processing, image processing, and computer vision. Data Science is also used in areas such as fraud detection, recommendation systems, and sentiment analysis. The development of Data Science programs requires knowledge of data preprocessing, feature selection, and model evaluation techniques, as well as programming concepts such as variables, data types, loops, and conditional statements.
Data Science programming is becoming increasingly important in the age of big data, where large amounts of data are being generated every day. With the growing demand for data-driven decision making, the importance of Data Science programming is only expected to increase in the future.
To clone and run this application, you'll need Windows 11 or Ubuntu and VS Code (For editing) installed on your computer.
Step 1:
# Clone this repository
$ https://github.com/Richu-Antony/Data_Science_Programmes.git
Step 2:
# Run the files inside the folder
Inside Data_Science_Programmes
Step 3:
# Order
DS-ML_MCAS3
Academic lab programs for Data Science and Machine Learning
PROGRAMS
1. Python Programming (Matrix Operations)
2. Bar Plot
3. Pie Chart
4. Space & Line plot
5. Histogram
6. K-nn classification
7. Naive Bayes
8. Decision Tree
9. Linear and Multiple Regression
10. K-means cluster
11. SVM.jpeg "Optional title")
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