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algorithmic-search-engine

This project is a mere simulation of how an actual search engine like Google works. They are obviously very fast because of the use of sophisticated functions and in built classes but at the heart of it or rather the algorithmic essence of it is represented by this project. It does not use a lot of inbuilt functions. The code may be very slow, after all it is not Google but the algorithm effectively represents the logic

bikeshare-data-analysis

This is the first part of my series on data analysis projects. This version deals with descriptive statistics. It is about the most popular methods of transport- bikeshares. The uniqueness of this project lies in the user friendly environment it creates and not the complexity of the code

chasing-the-cock-house

data-analysis-using-r

git-solo-tutorial

image-classifier

AI project

imdb-movies-analysis

In contrast to my second project on data analysis, this project is a demonstration of not formal statistics but more of descriptive statistics which are used by businessmen to make more informed decisions. The entire data analysis process has been carried out inclusing- Data Wrangling, Data Cleaning and Exploratory Data Analysis. The data was cleaned keeping in mind the questions psed for investigation.

predicting_prices

reproducible-analysis

Peer Assessment 1 for Reproducible Research

sql_tableau

statistical-inference-using-r

stroop-effect-analysis

This project makes use of formal methods to analyse data and reach statistical conclusions. These methods include hypothesis proposition and hypothesis testing. The statistical test carried out was the two-tailed dependent t-test. Upon comparing it to the t-critical value, a conclusion was made and the confidence interval of the same was noted. The advantage of such systematic testing is that it helps us make ACCURATE DEDUCTIONS instead of rough estimates based on the trends observed in the data. This is particularly useful in social sciences and laboratory research.