k-Nearest Neighbors(kNN)
k-Nearest Neighbors(kNN) Pros: High accuracy, insensitive to outliers, no assumptions about data Cons: Computationally expensive, requires a lot of memory Works with: Numeric values, nominal values We have an existing…
Predictive Analysis, Binary Classification (Cookbook)
This notebook contains my notes for Predictive Analysis on Binary Classification. It acts as a cookbook. Importing and sizing up a New Data Set The file is comma delimited, with…
Facebook Data Analysis
In [20]: import pandas as pd import numpy as np In [ ]: # Take few samples for the visualization sample_fbcheckin_train_tbl = fbcheckin_train_tbl[:10000].copy() In [21]: df = pd.read_csv('train.csv', index_col='row_id') In [22]: df.head() Out[22]: x y…
Linear Classification method with ScikitLearn
This blog is from the book and aimed to be as a learning material for myself only.Linear Classification method implements regularized linear models with stochastic gradient descent (SGD) learning. Each sample estimates…
Evaluating Machine Learning Algorithms
This blog contains notes for me to understand how to evaluate machine learning algorithms . I want to see how models compare and contrast to each other. This is from…
Advantages and Disadvantages of implementing Enterprise Resource Planning System
An Enterprise Resource Planning system can be used to control all major business processes with a single software architecture in real-time. It is composed of a set of applications that…
Kaggle Tutorial using Kobe Bryant Dataset
This part is a kaggle tutorial using Kobe Bryant Dataset - Part 1. You can get the data from https://www.kaggle.com/c/kobe-bryant-shot-selection . What excited me was that this dataset is excellent…
How has the digital economy impacted business strategy?
The Digital Economy - “is characterised by the use ICT’s to undertake business processes (e-business); effect transactions along the supply chain (e-commerce) and the coordination of entrepreneurial activities based on…