TY  - BOOK
AU  - Gnana  Lakshmi, TC
AU  - Shang, Madeleine
TI  - Hands On Supervised Learning With Python
SN  - 9789389328974
U1  - 005.133 (PYT) GNA 
PY  - 2021///
CY  -  New Delhi 
PB  - Bpb Publications
KW  - COMPUTER SCIENCE
KW  - Python Programming
KW  - Logistic Regression
KW  - Machine Learning
N2  - You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them.
We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Neural Networks. For each of these algorithms, you will work hands-on with open-source datasets and use python programming to program the machine learning algorithms. You will learn about cleaning the data and optimizing the features to get the best results out of your machine learning model. You will learn about the various parameters that determine the accuracy of your model and how you can tune your model based on the reflection of these parameters
ER  -