finbarr91 Goto Github PK

-mec_23_2_8--sparkml-mini-project

100-days-of-coding-main

100_days_coding_challenge

a-neural-network-model-on-naval-mine-classifier

This is a neural network model that classisfes sonar signals. It is written in Python, tensorflow and Keras. The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.

ai-chatbot-on-covid-19

An AI chatbot that was implemented using Neural network written in Python. This chatbot gives information about COVID-2019

anomaly-dectection-mini-project

api

api-

api_data_wrangling

application-of-a-prophet-time-series-to-predict-market-condition

artificial-neural-network-car-sales

Written in python

backend-challenge

Backend Challenge for a potential position at Hatchways

breast-cancer-classification-using-support-vector-machines

written in Python and the following libraries were imported.import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from sklearn.datasets import load_breast_cancer from sklearn.model_selection import train_test_split from sklearn.svm import SVC from sklearn.metrics import classification_report, confusion_matrix from sklearn.model_selection import GridSearchCV

chinese_automobile_company_market_survey

classification-on-tensorflow

Written in Python and Tensforflow 2.0

clustering-miniproject

The dataset contains information on marketing newsletters/e-mail campaigns (e-mail offers sent to customers) and transaction level data from customers. The transactional data shows which offer customers responded to, and what the customer ended up buying. The data is presented as an Excel workbook containing two worksheets. Each worksheet contains a different dataset. We're trying to learn more about how our customers behave, so we can use their behavior (whether or not they purchased something based on an offer) as a way to group similar minded customers together. We can then study those groups to look for patterns and trends which can help us formulate future offers.

data-science-notebook

A notebook for data science with python. Find notes in wiki.

data-wrangling-and-transformation-with-pandas

data-wrangling-at-scale-with-spark

data_wrangling_using_pandas

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

directing-customer-to-subsription-through-app-behaviour-analysis

directing-customers-to-subscription-through-app-behaviour-analysis-main-script

Directing Customers to subscription through app behaviour analysis

finbarr91-a-linear-regression-model-using-scikit-learn-that-predicts-fuel-cosumption-and-co2-emissio

This model is written in python by implementing scikit-learn

hidden-markov-model-on-tensorflow-2.0

Written in Python

image-augmentation-code-for-training-a-cnn-model

image-prediction-using-cnn-

code in Python

implementation-of-tensorflow-2.0-algorithm-on-titanic-dataset

information-similarity-classifier

information-similarity-classifier-for-the-new-methods-of-metastimuli