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TSF_task1_predicting-score
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.SQL-orders
Logistic-regression-example
Logistic Regression Exampleexcel-formatting
I Have done this challenge of excel formattingTSF_task2
Prediction Using unsupervised ML--->>From the given βIrisβ dataset, predict the optimum number of clusters and represent it visually using R programmingTablue_Covid19_RacingBarchart
I am basically created a moving chart which shows the covid cases in top 20 country with different timeline.naive_bayes_example
Naive Bayes Machine Learning Modelnumerical_methods
This is my first repository. Numerical methods are best approaches to solve the complex engineering/scientific problems.AMITPKR
Config files for my GitHub profile.datetime-in-python
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)predicting_labour_cost
Prediction of labour cost of the vehicle based on labour hour.Diamond_data_EDA
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)R_chart-graphics
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.Love Open Source and this site? Check out how you can help us