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Category: ML|AI|DS
Tools required for Data Science: 1. MATLAB: a platform to process math information. Can be used to stimulate neural networks. 2. JUPYTER: Write live code, visualizations, and presentation. Supports python Julia and R….
In sentimental analysis, we analyze the sentence and we decide whether the sentence is a negative or positive sentence (or) good or poor review comment. it is heavily used in reviews or comments…
The use of the Internet has skyrocketed in the last decade leading to a new area for junk promotions from disreptable marketers. People innocently give out their mobile phone numbers while utilizing day-to-day services…
Tableau Desktop is an awesome data analysis and data visualization tool. It allows you to see your data immediately (with a few drag and drops). The “Show Me” feature is extremely helpful especially…
import pandas as pdfrom fbprophet import Prophetdf = pd.read_csv(‘./data/footfall.csv’) DataFrame for footfall count with dates We’ll rename the columns to ‘ds’ and ‘y’ as required by the FbProphet. We’ll use the built-in weekly and yearly seasonalities and add…
Logistic Regression is a Machine Learning algorithm that is used for classification problems, it is a predictive analysis algorithm and based on the concept of probability Cost Function cost function represents an optimization objective i.e….
What is Linear Regression? The objective of a linear regression model is to find a relationship between one or more features(independent variables) and a continuous target variable(dependent variable). When there is only feature…
read_csv Everyone knows this command. But the data you’re trying to read is large, try adding this argument: nrows = 5 to only read in a tiny portion of the table before actually loading the…
Pandas is the most popular Python library for doing data analysis. While it does offer quite a lot of functionality, it is also regarded as a fairly difficult library to learn well. Some…