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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

association-rules

Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy. Association Rules are widely used to analyze retail basket or transaction data and are intended to identify strong rules discovered in transaction data using measures of interestingness, based on the concept of strong rules.

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

clustering-and-classidication

Here we will demonstrate and will try to learn different- different clustering and classification problems

competitive_exemples

code solution from competitive websites

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data-preprocessing-techniques

Data Preprocessing Techniques

data-science

Collection of useful data science topics along with code and articles

data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

dataset

Datasets

deep-learning

engineeringmlops

Engineering MLOps, published by Packt

ensemble-techniques

Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. To better understand this definition lets take a step back into ultimate goal of machine learning and model building. This is going to make more sense as I dive into specific examples and why Ensemble methods are used.

examples

TensorFlow examples

forestclassification

julia

Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!

natural-language-processing

Here we will apply natural language process using variety packages like keras, textblob, genism etc

openseq2seq

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

power-bi

Interesting visuals and reports

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

py_key_conceps

pyspark

Unpivot Spark Data Frame, function alike pandas melt, establish Hierarchical relation using numpy and pandas netwotkx

python

All Algorithms implemented in Python

recommandation-syatem-

In this notebook, I will attempt at implementing a few recommendation algorithms (content based, popularity based and collaborative filtering) and try to build an ensemble of these models to come up with our final recommendation system.

regression

Regression is a supervised learning algorithm used when target / dependent variable continues real number. It establishes relationship between dependent variable y and one or more independent variable x using best fit line. It work on the principle of ordinary least square (OLS) / Mean square errror (MSE) . In statistics ols is method to estimated unkown parameter of linear regression function, it's goal is to minimize sum of square difference between observed dependent variable in the given data set and those predicted by linear regression function.

sparkmlib

sql

time-series-and-survival-analytics

Time series forecasting occurs when you make scientific predictions based on historical time stamped data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making. An important distinction in forecasting is that at the time of the work, the future outcome is completely unavailable and can only be estimated through careful analysis and evidence-based priors.

to-build-a-classification-methodology-to-determine-whether-a-person-defaults-the-credit-card-payment

To build a classification methodology to determine whether a person defaults the credit card payment for the next month.

udemy-course-recommadation-system