akshathakumar

akshatha

akshatha-1995

akshathapr

Akshitha

akshu

Data-driven-process

We build a project Descriptive statistics model to predicate what Type of Flower it is (Iris Data Sets) with Python and Pandas where Data is found and we find the Problem in Data, handling Missing and filling Missing Values.

Hypothesis-data-driven-process

The model we fine our Problem, derivation, and implementation of linear and logistic regression, both with and without automatic relevance determination. It has the dual function of acting as for the derivation for simple models, as well as documenting, and providing brief examples for the Python functions that implement this inference. These functions are freely available online.

Machine-Learning-Concepts

Machine Learning Concepts with Concepts

Numpy-Basic-with-Python

Learn Numpy Basic With MatplotLib

Pandas-with-Python

Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.

akshathakumar/Akshitha

akshathakumar/Pandas-with-Python

Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.

akshathakumar/akshatha

akshathakumar/akshatha-1995

akshathakumar/akshathapr

akshathakumar/akshu

akshathakumar/Data-driven-process

We build a project Descriptive statistics model to predicate what Type of Flower it is (Iris Data Sets) with Python and Pandas where Data is found and we find the Problem in Data, handling Missing and filling Missing Values.

akshathakumar/Hypothesis-data-driven-process

The model we fine our Problem, derivation, and implementation of linear and logistic regression, both with and without automatic relevance determination. It has the dual function of acting as for the derivation for simple models, as well as documenting, and providing brief examples for the Python functions that implement this inference. These functions are freely available online.

akshathakumar/Machine-Learning-Concepts

Machine Learning Concepts with Concepts

akshathakumar/Numpy-Basic-with-Python

Learn Numpy Basic With MatplotLib

akshathakumar/Numpy-with-Python

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities