Steps to solve a datasets

1. STEPS TO SLOVE THE DATASET IN DATA
SCIENCE

2. 1.IMPORT NECESSARY LIBRARIES
2.READ IN AND EXPLORE DATA
3.DATA ANALYSIS
4.DATA VISULIZATION
5.DATA CLEANING
6.CHOSSING THE BEST MODEL
7.CREATING THE BEST MODEL
8.SUBMITTING AND SUBMISSION FILE

3. IMPORT NECESSARY LIBRARIES:
Numpy.
Scipy.
Scikit-learn.
Theano.
TensorFlow.
Keras.
PyTorch.
Pandas.

4. READ IN AND EXPLORE DATA

5. DATA ANALYSIS
IDENTIFY
1.NUMERICAL FEATURES
2.CATEGORICAL FEATURES
3.ALPHANUMERIC FEATURES
IDENTIFY DATA TYPES
1.INT
2.FLOAT
3.STRING

6. DATA VISULIZATION
Data visualization is the graphical
representation of information and data. By
using visual elements like charts, graphs, and
maps, data visualization tools provide an
accessible way to see and understand trends,
outliers, and patterns in data.

7. DATA CLEANING
Data cleansing or data cleaning is the process of detecting and
correcting (or removing) corrupt or inaccurate records from a
record set, table, or database and refers to identifying
incomplete, incorrect, inaccurate or irrelevant parts of
the data and then replacing, modifying, or deleting the dirty or
coarse data.

8. CHOSSING THE BEST MODEL

9. CREATING THE BEST MODEL

10. SUBMITTING AND SUBMISSION FILE

11. THANK YOU