Day 180  Pipeline in Machine Learning with scikit learn using Python

Day 181 Multinomial Logistic Regression using Python (Mobile Price Prediction])

Day 180  Pipeline in Machine Learning with scikit learn using Python

Day 179 KMeans Clustering Using Python

Day 178 How to convert DataFrame into List using Python

Day 177 Get IP address of any URL or Website using Python

Day 176 Web Scraping and Parsing HTML in Python with Beautiful Soup

Day 175: - Remove/Add YEAR, MONTH, DATE, HOUR, MINUTE And SECOND From The Datetime Using Python

Day 174 Balanced parentheses (Brackets) Using Python

Day 173 Saving Figures PNG,JPEG And PDF using Python Matplotlib

Day 172 Real Time Currency Convertor Using Python

Day 171 Packing and Unpacking Arguments Using Python

Day 170 Magic or Dunder Methods Using Python

Day 169 Put Legend Outside The Matplotlib Plot Using Python With Pandas

Day 168 How to Build 2048 Game Using Python

Day 167 ‘is’ and ‘==’ operators using Python

Day 166 What is Metaclass in Python

Day 165 zfill () Method using Python

Day 164 Map, Filter, Sorted and Reduce Functions Using Python

Day 163 Find country code, country name, city, latitude, longitude from IP address Using Python

Day 162   RJUST() , LJUST() , CENTER () And ZFILL ()  Using Python

Day 161 Add new column to the existing DataFrame using Python Pandas

Day 160 sort and sorted functions Using Python

Day 159 How to use cmp() function in Python

Day 158 :-dict.items() and setdefault() Using Python