Data Analytics

  Recognizing Handwritten Digits : 1) Load the library:      1) NumPy: Numpy is used for data Distribution.      2) Pandas: Pandas is Basically used for the Pre-processing of the data.      3) Matplotlib: Matplotlib uses for visualization of the data.     4) Sci-kit Learn: Scikitlearn is used to build the model. 2) Load the Dataset: Load the dataset with the help of Pandas.  Pandas contain the read_csv() method which is used to read the data of the dataset. 3)Plot the Image and Label: First of all the Zip the images and label using for loop. Using the for loop we focus on the digit images and target images for the evaluation. 4) Import the SVM: SVM stands for the Support Vector Machine. Which helps to identify the digit. Using SVM we have to identify the digit with the help of SVC. SVC is a method that access by the SVM. SVC stands for the  Support Vector  Classification. 5) Test and Train the Dataset: we have to...

  Performing Analysis of Meteorological Data: 1) Load the Related Library:      1) NumPy: Numpy is used for data Distribution.      2) Pandas: Pandas is Basically used for the Pre-processing of the data.      3) Matplotlib: Matplotlib uses for visualization of the data.     4) Sci-kit Learn: Scikitlearn is used to build the model.     5)Datetime: Datetime is used to convert the day into year and month. 2) Load the Dataset: Load the dataset with the help of Pandas.  Pandas contain the read_csv() method which is used to read the data of the dataset. With the help of the head() method, we can retrieve the top5 data. 3) Plot the Data: Just  For the visualization to see the data structure of the data. To see the data after viewing the data distribution. There are some Columns which Contain  some Null value which creates the problem to make the model. 4) Remove the NA Value : Remove the Null value from the da...