{"product_id":"machine-learning-in-data-science-using-python","title":"Machine Learning in Data Science Using Python (Paperback)","description":"\u003cp\u003eThis book is useful for students and IT professionals who want to make their career in the field of Machine Learning and Data Science.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Content:\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart 1: Python for Machine Learning and Data Science\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eChapter 1: Fundamentals of Python\u003c\/p\u003e\u003cp\u003eChapter 2: Datatypes in Python 19\u003c\/p\u003e\u003cp\u003eChapter 3: Operators in Python\u003c\/p\u003e\u003cp\u003eChapter 4: Input and Output\u003c\/p\u003e\u003cp\u003eChapter 5: Control Statements\u003c\/p\u003e\u003cp\u003eChapter 6: Numpy Arrays\u003c\/p\u003e\u003cp\u003eChapter 7: Functions in Python\u003c\/p\u003e\u003cp\u003eChapter 8: Modules, Packages and Libraries\u003c\/p\u003e\u003cp\u003eChapter 9: Introduction to OOPS\u003c\/p\u003e\u003cp\u003eChapter 10: Classes, Objects and Methods\u003c\/p\u003e\u003cp\u003eChapter 11: Data Storage in Files\u003c\/p\u003e\u003cp\u003eChapter 12: Data Analysis Using Pandas\u003c\/p\u003e\u003cp\u003eChapter 13 Advanced Data Analysis using Pandas\u003c\/p\u003e\u003cp\u003eChapter 14: Data Visualization using Matplotlib\u003c\/p\u003e\u003cp\u003eChapter 15: Data Visualization using Seaborn\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart 2: Machine Learning in Data Science 747\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eChapter 16: Introduction to Machine Learning\u003c\/p\u003e\u003cp\u003eChapter 17: Exploratory Data Analysis (EDA)\u003c\/p\u003e\u003cp\u003eChapter 18: Outliers\u003c\/p\u003e\u003cp\u003eChapter 19: Simple Linear Regression\u003c\/p\u003e\u003cp\u003eChapter 20: Multiple Linear Regression\u003c\/p\u003e\u003cp\u003eChapter 21: One Hot Encoding\u003c\/p\u003e\u003cp\u003eChapter 22: Polynomial Linear Regression\u003c\/p\u003e\u003cp\u003eChapter 23: Ridge Regression\u003c\/p\u003e\u003cp\u003eChapter 24: Lasso Regression\u003c\/p\u003e\u003cp\u003eChapter 25: Elasticnet Regression\u003c\/p\u003e\u003cp\u003eChapter 26: Logistic Regression\u003c\/p\u003e\u003cp\u003eChapter 27: Support Vector Machine (SVM)\u003c\/p\u003e\u003cp\u003eChapter 28: Naive Bayes Classification\u003c\/p\u003e\u003cp\u003eChapter 29: KNN Classifier\u003c\/p\u003e\u003cp\u003eChapter 30: Decision Trees\u003c\/p\u003e\u003cp\u003eChapter 31: Random Forest\u003c\/p\u003e\u003cp\u003eChapter 32: K-Means Clustering\u003c\/p\u003e\u003cp\u003eChapter 33: Apriori Algorithm\u003c\/p\u003e\u003cp\u003eChapter 34: Principal Component Analysis (PCA)\u003c\/p\u003e\u003cp\u003eChapter 35: K-Fold Cross Validation\u003c\/p\u003e\u003cp\u003eChapter 36: Model Selection\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart 3: Deep Learning and AI in Data Science\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eChapter 37: Introduction to Deep Learning\u003c\/p\u003e\u003cp\u003eChapter 38: Creating Neural Networks in Python\u003c\/p\u003e\u003cp\u003eChapter 39: Tensorflow and Keras\u003c\/p\u003e\u003cp\u003eChapter 40: Creating ANN Using Tensorflow and Keras\u003c\/p\u003e\u003cp\u003eChapter 41: Convolutional Neural Network (CNN)\u003c\/p\u003e\u003cp\u003eChapter 42: Recurrent Neural Network (RNN)\u003c\/p\u003e\u003cp\u003eChapter 43: Natural Language Processing (NLP)\u003c\/p\u003e\u003cp\u003eChapter 44: Computer Vision\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eProgram Index\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"DREAMTECH PRESS","offers":[{"title":"Default Title","offer_id":50506270703686,"sku":"9789391540463","price":999.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/51HQhrN7GHL._SX371_BO1_204_203_200.jpg?v=1790324753","url":"https:\/\/cb-india.com\/products\/machine-learning-in-data-science-using-python","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}