AMITPKR/SQL-orders

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Created almost 4 years ago
Updated almost 4 years ago

AMITPKR/SQL-orders

AMITPKR

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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.

currency_conversion

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.

Logistic-regression-example

Logistic Regression Example

excel-formatting

I Have done this challenge of excel formatting

TSF_task2

Prediction Using unsupervised ML--->>From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually using R programming

Tablue_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 Model

numerical_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 (\$326–\$18,823) carat weight of the diamond (0.2–5.01) 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 (0–10.74) y width in mm (0–58.9) z depth in mm (0–31.8) depth total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43–79) table width of top of diamond relative to widest point (43–95)

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.