Course registration link:
https://rdatacode.com/contact-us/
Python fundamental tutorials:
Data structure, function creation, control flow, Numpy, Pandas, visualization using matplotlib.
Python statistics:
Doing and discovering statistics using Python programming.
Python functions handling calculating the density, cumulative probability, quantile and random number generation for different statistical distributions: Normal distribution, t distribution, gamma distribution, chi-square distribution, F distribution, beta distribution, Hypothesis testing, etc.
Linear regression and Generalized linear models using Python programming.
ANOVA, factor analysis using Python programming.
Clustering model using Python programming.
Python machine learning:
tensorflow, keras, scikit-learn.
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Two or more arrays with at least one dimension has the same shape, can be joined together to formulate a new array. These kinds of operations are called stacking. Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Python Numpy module provides a series functions that can reshape Numpy arrays. When an array is created via Numpy, it has a shape and dimension. reshape() is used to Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. In addition to simply using indexing to select elements from a Numpy array, Python lets you easily use conditional tests to systematically select parts of a Numpy array. In Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. As an alternative to for looping, Numpy provides an aggregate function, apply_along_axis(), that applies various summary functions upon an array’s column or rows. The function has an option paraemter Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. When an Numpy array is created, its elements can be returned by indexing. Indexing of array elements is implemented by using brackets. If there are several non contiguous elements Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Matrix addition and subtraction of Numpy arrays of same size are element-wise, i.e. elements in the resulting matrix are the results of the corresponding elements of the inputting matrix Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. In addition to using array() function that passes a list or tuple to generate an Numpy array in Python, there are lots of ready-made functions that make it possible Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Numpy is a large module in Python programming. It handles mainly numeric data analysis, and is also the basis of another large module, Pandas in Python. The heart of Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. It is very often that items in list should be moved to another list in Python programming. For example, users trying to register on a website can only be Read more…
We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. The mechanism for copying a list in Python appears somewhat different than in other programming languages. If you just use equal symbol to assign an existing list to a Read more…