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The more fundamental part of ML is Mathematics, But if we take the list it goes on like algebra, statistics, calculus, geometry etc., and obviously we get confused. When we approach experts and ask, at this stage most of them will suggest us to go ahead with Linear Algebra. But the problem will not stop… Read more

As the name suggests, once we are provided with real time data we should understand the data first and then we should able to get some insights from the provided data. These insights can be gained only by analyzing and exploring the provided data, which we would call as Exploratory data analysis or EDA Process.… Read more

Scikit-Learn is a basic standard to work with machine learning in python. It provides a python libraries for solid implementation of machine-learning algorithms. Scikit-learn provides a wide selection of supervised and unsupervised learning algorithms. Best of all, it’s by far the easiest and cleanest ML library. Scikit Learn is built on top of several common… Read more

Pandas consists of two basic data structure called Series and Dataframe. Pandas is also one of the most important python library for data manipulation and analysis. Like Numpy package, we install pandas package by the command “pip install python” in python prompt. Now the installed package can be utilized by the import command, “import pandas… Read more

We are here to explore one of the basic package in python called Numpy. Without any mathematical computations, we could not infer any insights from the data, Hence we use Numpy package for the same. As we can arrange our data into one-Dimensional, two-dimensional and so on. The 1D data are Vectors, 2D are Matrices… Read more

Data Structures are the simple structures to hold our data. These structures are helpful in performing some operations on our data like storing, managing, accessing etc., The basic data structure of the python includes the List ,Tuples , Sets and Dictionaries. Python Lists : Python lists will hold data inside the square brackets [] and… Read more