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My experience as a Machine Learning Intern at InfoPillar Solution Pvt Ltd!!

Greetings Everyone, This blog represents my working experience during my internship with InfoPillar Solution Pvt. Ltd. in the domain of Machine Learning. In this internship, there were 4 tasks assigned with varying difficulty levels. I am happy to inform you that I successfully completed the given 4 tasks assigned during the internship. Task 1 was related to the Loan Prediction using Machine Learning. The idea behind this ML project is to build a model that will classify how much loan the user can take. It is based on the user’s marital status, education, number of dependents, and employments. You can build a linear model for this project. Task 2 was also related to the Fake News Detection Project. Fake news spreads like a wildfire and this is a big issue in this era. You can learn how to distinguish fake news from a real one. You can use supervised learning to implement a model like this.  Task 3 was Iris Flowers Classification Project. The iris flowers have different species...

My experience as Data Science Intern at LetsGrowMore!!

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Greetings Everyone, This blog represents my working experience during my internship with Letsgrowmore in the domain of Data Science. In the internship, there were 3 tasks given with varying difficulty levels: 1. Beginner  2. Intermediate 3. Advanced. I am happy to inform you that I successfully completed 4 tasks assigned during the internship. Task 1 was related to the flower class identification of the Iris dataset. In that multiple parameters of different flowers were given and we have to identify the correct flower class. Task 2 was also related to the Iris dataset classification but this time, the classifier was changed to Decision Tree Algorithm, and also have to visualize the decision tree. The rest of the task can be visualized in my GitHub repo, here is the link to my GitHub. I am really thankful to Mr. Aman Kesarwani and LetsGrowMore , and their Virtual Internship Program ( VIP ) for providing me the opportunity and enhancing my knowledge in the domain and exploring more ...

Recognizing Handwritten Digits By Scikit-Learn

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  Recognizing Handwritten Digits with Scikit-Learn Scikit-learn library: The scikit-learn library ( http://scikit-learn.org/ ) enables us to approach this type of data analysis in a way that differs slightly from what we’ve used in the previous project. I closely related the data to be analyzed to numerical values or strings, but can also involve images and sounds. Aim: The primary aim of this project involves predicting a numeric value, and then reading and interpreting an image that uses a handwritten font. We will have an estimator with the task of learning through a fit() function, and once it has reached a degree of predictive capability (a model sufficiently valid), it will produce a prediction with the predict() function. Then we will discuss the training set and validation set created this time from a series of images. The hypothesis to be tested: The Digits data set of the scikit-learn library provides numerous datasets that are useful for testing many problems of dat...

Performing Analysis of Meteorological Data

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  Performing Analysis of Meteorological Data Objective: The main objective is to perform data cleaning, perform analysis for testing the Influences of Global Warming on temperature and humidity, and finally put forth a conclusion. Given Hypothesis: The Null Hypothesis H0 is  “Has the Apparent temperature and humidity compared monthly across 10 years of the data indicate an increase due to Global warming” The H0 means we need to find whether the average Apparent temperature for the month of a month says April starting from 2006 to 2016 and the average humidity for the same period has increased or not. Dataset: The dataset can be obtained from Kaggle. The dataset has hourly temperature recorded for the last 10 years starting from 2006–04–01 00:00:00.000 +0200 to 2016–09–09 23:00:00.000 +0200. It corresponds to Finland, a country in Northern Europe. Source URL:  https://www.kaggle.com/muthuj7/weather-dataset Function for plotting Humidity & Apparent Temperature for each ...

Rahul's quest to redefine image off to a flyer

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                                 Rahul smashed six fours and four sixes in his knock © BCCI "I have been branded as a Test cricketer for 4-5 years, so it's good for me to be up there creating history and breaking the record," is how KL Rahul described his knock against Delhi Daredevils, after scoring the fastest IPL fifty. Despite some rapid knocks for India in the shortest format, including a hundred and a T20I strike rate in excess of 145, his overall T20 numbers painted a different picture. A scoring rate 125.65 in IPL before his first game in the 2018 season added weight to the narrative that he was of an accumulator of runs. During his debut IPL season in 2013, with Royal Challengers Bangalore, Rahul got limited opportunities - only two innings in the middle in which he scored 20 runs. He got better chances with Sunrisers Hyderabad during IPL 2014 but that stint d...

IPL 2018 Of DRS's entertaining IPL debut and Bumrah's tattered reputation

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Even though Even Lewis had a debut to forget, Mayank Markande had one to remember, albeit in a losing cause. © AFP                                                A debut to forget If practice sessions a day before the game was anything to go by, Evin Lewis seemed like a party fish in his water. He was hammering the monster blows all around the ground. Some of them went deep into the stands some even hit the glass chambers. How none of them broke remains a mystery! But Lewis seemed all smooth in his glory, bringing his big-hitting reputation to IPL. Unfortunately, his debut innings in the tournament lasted only two balls as he was trapped leg-before-wicket by a superb inswinging delivery from Deepak Chahar. He got out for a duck, but to save some embarrassment, it isn't a premier list that he is a part of. He has the company of as many as 57...

Bollywood meets cricket in T20’s new season

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Eros Now, the digital over-the-top (OTT) South Asian entertainment platform of Eros International, will be the title sponsor of the Virat Kohli-led Royal Challengers Bangalore (RCB) team in the 11th season of T20. Leveraging the nation’s two biggest attractions — Bollywood and cricket — Eros Now becomes one of the first OTT players to come on board as a sponsor of a league team in IPL. The collaboration is a part of the company’s endeavour to build a true digital video brand with Indian users. At the heart of the association is the value Eros Now’s paid subscribers will get throughout the season of 2018 to win match tickets, exclusive merchandise and a centre-field view with the captains at the coin toss. The thrilling, action-packed matches along with various social media and video content on erosnow.com will keep fans engrossed through the T20 season. Speaking on the announcement, Rishika Lulla Singh, CEO, Eros Digital, said, “The innovation with Royal Challengers Bangalor...