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Content Based Recommender System
Content Based Recommender System
This blog is the third part in the series of recommender system. In case, you missed out the other two parts, I am providing the links. I will be the working with the same TMDB dataset Part 1: Basic Movie Recommender System https://machinemantra.in/2020/10/26/movie-recommendation-system-using-python/ Part 2: Content Based Movie Recommender System…
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What is Web Scraping?
What is Web Scraping?
How to make money using Web Scraping I have tried to make the theory part a little interesting by including slides and making it visually appealing. So, let us first understand what is Web Scraping, the we will understand a few applications of web scraping/data scraping. If the applications are utilized in a proper way, this can lead to making money using web scraping! Let us start by…
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Random Forest in Machine Learning
Random Forest in Machine Learning
Random Forest is one of the Machine Learning Algorithms used to solve both classification and regression tasks. It is one of the widely used supervised machine learning algorithm. It can be used for both Classification and Regression. It can be understood as a collection of many trees and this enhances its accuracy. Random forest algorithm is called random forest classifier in Python. It…
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Introduction to Decision Tree in Machine Learning
Introduction to Decision Tree in Machine Learning
Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks. Non-parametric means it does not make assumptions, thus we can obtain good prediction results. Objective of Decision Tree The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features . The decision…
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Web Scraping using Python
Web Scraping using Python
Web Scraping means obtaining information from the web. This can be both legal and illegal. As gathering data from other sites often infringes the policy and other data rights. There ae ethical and legal concerns involved in Web Scraping. Do check out the laws in place before scraping any website (PRE WARNING) To know whether a website allows web scraping or not, you can look at the website’s…
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Stemming and Lemmatization in Python explained with Examples
Stemming and Lemmatization in Python explained with Examples
Stemming and Lemmatization are Text Normalization or Word Normalization techniques in the field of Natural Language Processing .They are used to prepare text, words, and documents for further processing.
Let us understand Stemming
Stemming
Stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form—generally a written word form. The…
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Time Series Analysis in Python Basic Tutorial
Time Series Analysis in Python Basic Tutorial
This blog will address how to get started with Time Series Analysis in Python. We will work with TCS data se, the file can be downloaded from the link below. There are around 52 files in this zip folder, select TCS.csv file to get started with the analysis.
https://www.kaggle.com/rohanrao/nifty50-stock-market-data
Time Series Analysis
Time series Analysisis a statistical technique that…
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Content-Based Recommender System Python
Content-Based Recommender System Python
We have build a basic recommendation system in the earlier blog. For your reference the link is been provided below. Please go through it as we will be working with the same TMDB dataset. https://machinemantra.in/2020/10/26/movie-recommendation-system-using-python/
Need for Content Based Filtering
The suggestions and the recommendations made by the recommender engine helps to narrow down…
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Difference Between R and Python
Difference Between R and Python
In this blog let us understand the difference between R and Python; the top programming language in the Data Science community.
Similarity between R and Python
Before going into differences, let us first understand the similarities between R and Python.
Thus, both R and Python are open source languages, can be easily installed and downloaded. We can get started with them with much ease.…
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Movie Recommendation System Using Python
Movie Recommendation System Using Python
What is a Recommender System?
Recommender systems can be understood as systems that make suggestions. We often ask our friends about their views on recently watched movies. Based on that, we decide whether to watch the movie or drop the idea altogether. Imagine if we get the opinions of the maximum people who have watched the movie. We also get ideas about similar movies to watch, ratings,…
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Pytorch Vs. TensorFlow
The post will walk you through the difference between the two most popular Deep Learning Frameworks i.e., Pytorch and TensorFlow.
The Slide show will make the entire discussion more interesting. So Let’s get Started.
TensorFlow is based on Theano Library, a math library. TensorFlow is widely been used for deployment purposes as it was designed as a production ready library.
To know…
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Breast Cancer Wisconsin Dataset
Breast Cancer Wisconsin Dataset
Analysis and Predictive Modeling with Python
Wisconsin Breast Cancer Diagnostics Dataset is the most popular dataset for practice. It is an example of Supervised Machine Learning and gives a taste of how to deal with a binary classification problem.
Dataset Download You can download the dataset from the link below or the UCI repository. https://www.kaggle.com/priyanka841/breast-cancer-wiscons…
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Seaborn Tutorial
Seaborn
Seaborn is a Python plotting/ Data Visualization library. It is built upon Matplotlib, and hence derives many features of matplotlib. Seaborn offers a range of plots which overcome the limitation of matplotlib. Thus, making Python a better choice for data visualization.
Python has other interactive plotting libraries, like Plotly, Bokeh, to give it a more aesthetic appeal, the same…
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Adult UCI Dataset Analysis with Python
Adult UCI Dataset Analysis with Python
Adult UCI dataset is one of the popular datasets for practice. It is a Supervised binary classification problem.
AIM
To predict whether a person makes over 50k a year
Links to download the dataset:
https://archive.ics.uci.edu/ml/datasets/Adult
https://www.kaggle.com/wenruliu/adult-income-dataset
Details of the Dataset
The dataset contains a mix of categorical and numeric…
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Understanding Confusion Matrix
In this bolg let us demystify confusion matrix and understand it with the help of simple examples.
The name itself creates a kind of confusion and it becomes a little difficult to understand the matrix for the first timers, but with practice and regular use in the models one becomes comfortable with them.
Let us Start then!!
Confusion Matrix
Confusion matrix is a Classification…
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Computer Vision
In this blog we will explore what is Computer Vision in simple terms, Various Applications of Computer Vision, Current status and Scope of Computer Vision
To understand Computer Vision : Imagine Machines mimicking human vision. The way we see things, analyze,observe and make decisions. We want machines to all this in a similar manner.
Driving a car requires a lot of input from humans,…
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Machine Learning Changing the World
Machine Learning Changing the World
In this Blog let us understand how Machine Learning is really making impact in today’s world. Cutting across all the sectors Machine Learning finds its application in a wide range of sectors
Machine Learning helps sectors like: healthcare, science, space, economy, finance, agriculture, small enterprises, e-commerce. we shall discuss a few applications of Machine Learning with examples.
1) B…
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