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I have done this lecture with 100% practice.

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I have done this video with 100% practice.

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AOA, I learned in this lecture about the first ML algorithm for LINEAR REGRESSION in Python.STEPS OF LINEAR REGRESSION
1- Import libraries (pandas, numpy, matplotlib.pyplot, seaborn, sklearn.modle_selection, sklearn.preprocessing, sklearn.linear_modle)
2- Import the data
3- Separate the features
4- Train test and split the data
5- Pre-process the data
6- Call the model
7- Prediction
8- Evaluation the model
9- Save the model
10- Load the model
ALLAH PAK aap ko sahat o aafiat wali lambi umar ata kray aor ap ko dono jahan ki bhalian naseeb farmaey Ameen.

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Our first ever basic ML model creation in this lecture. We will grow together INSHA ALLAH

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