Amit Kumar 's Projects
Course materials and handouts for #100DaysOfCode in Python course
Config files for my GitHub profile.
abhishek's
Sample games using the Google Play Games C++ SDK
This is the currency conversion program written in basic c++ concept which converts Rupee into different internation currency(Dollar, Pound, Yen, Yuan, Ruble, and Euro) & vice-versa also.
in this we learn about how to use "datetime" module and function with an easy example.datetime module is an important module to deal & interact with date and time(i.g. day,month,year,sec,min,hour etc)
A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows: Usage diamonds Format A data frame with 53940 rows and 10 variables: price price in US dollars (\$326β\$18,823) carat weight of the diamond (0.2β5.01) cut quality of the cut (Fair, Good, Very Good, Premium, Ideal) color diamond colour, from D (best) to J (worst) clarity a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best)) x length in mm (0β10.74) y width in mm (0β58.9) z depth in mm (0β31.8) depth total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43β79) table width of top of diamond relative to widest point (43β95)
I Have done this challenge of excel formatting
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Hactoberfest -2021
Logistic Regression Example
created by Abhishek Tiwari
myapplication with Kumar,Amit
Naive Bayes Machine Learning Model
This is my first repository. Numerical methods are best approaches to solve the complex engineering/scientific problems.
Prediction of labour cost of the vehicle based on labour hour.
R language has numerous libraries to create charts and graghs. A pie chart is a representation of values as slices od a circles with different colors. Pie() function is used for this.
I am basically created a moving chart which shows the covid cases in top 20 country with different timeline.
Includes top ten must know machine learning methods with R.
Predict the percentage of an student based on the no. of study hours. This is a simple linear regression task as it involves just 2 variables.
Prediction Using unsupervised ML--->>From the given βIrisβ dataset, predict the optimum number of clusters and represent it visually using R programming