Google Cloud: Creating Image Classification ML Model on Dog/Cat Dataset
Overview In this lab, you upload images to Cloud Storage and use them to train a custom model to recognize whether the image is of Dog or Cat. What you learn In this lab, you learn how to perform the following tasks: Upload a labeled dataset to Cloud Storage and connect it to AutoML Vision […]
Google Cloud: Classifying Images of Clouds in the Cloud with AutoML Vision
Overview In this lab, you upload images to Cloud Storage and use them to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.). What you learn In this lab, you learn how to perform the following tasks: Upload a labeled dataset to Cloud Storage and connect it to AutoML Vision with […]
Google Cloud: Exploring a BigQuery Public Dataset
Overview Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google’s infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access […]
Google Cloud: Setting Up Google Cloud Text-to-Speech
Description Although there are many tools to communicate, there are two basic types of communication: written and spoken. Machine learning has made it possible to convert one to the other, resulting in speech that is very close to that of a human voice. In this hands-on lab, you’ll step through the process for utilizing the […]
K-Means Clustering : Performing Customer Segmentation
Introduction k-means is a Kind of Machine Learning Model which uses clustering technique and unsupervised approach. Using k-means clustering we can quickly get insights from unlabeled data. Using k-means for Customer Segmentation Customer segmentation is the practice of partitioning a customer base into groups of individuals that have similar characteristics. It is a significant strategy as […]
TimeSeries Analysis and Prediction for Covid-19 Infection In India
[ This Article was originally published on medium on May29, 2020 ] As Corona virus is spreading exponentially and has caused so much damage to the mankind across the globe, it will be interesting to analyse and predict the trend of spread. Here we’ll be performing time series analysis on covid-19 infected patients in India […]
Machine Learning — Logistic Regression
Introduction A telecommunications company is concerned about the number of customers leaving their land-line business for cable competitors. They need to understand who is leaving. We will help the company by finding out who is leaving and why. In this article, we will be creating a Machine learning model for The Telecommunication Company using “Logistic […]
Pandas DataFrame Basics: How To Perform Indexing And Slicing
1. Introduction Pandas is an open source Python library for data analysis. It gives Python the ability to work with spreadsheet-like data for fast data loading, manipulating, aligning, and merging, among other functions. To give Python these enhanced features, Pandas introduces two new data types to Python: Series and DataFrame. Series: Pandas series are basically dataset having only one […]
Fundamental approach in dealing with missing data
As a Data Scientist we always have to deal with messy data, which is not cleaned up. Incorrect or inconsistent data leads to false conclusions. So, before we inject our data to some machine learning algorithm to get some prediction, one has to clean the data first. In this article we will be dealing with […]