Graph
Extra and last post! Graph netowrk: a brief analysis. Privacy policy for Uber and Lyft Conclusions 1. Graph netowrk: a brief analysis. library(kni...
Posts by Tag
- R Projects 7
- Python Projects 4
- Statistics 4
- Regression 2
- Machine Learning 2
- data wrangling 1
- data science 1
- messy data 1
- Python 1
R Projects
Xgb
XGboost To conclude with the estimation part of the project we will use the Xgboost methodology to compare results with the previous estimations. Once again...
Gbm
Gradient Boosting Machine (GBM) Whereas random forests build an ensemble of deep independent trees, GBMs build an ensemble of shallow and weak successive tr...
Rf
Random Forest in R Due to computational restrictions, this time we select randomly 260.000 observations from the original data, although this sub-sample re...
Trees
Tree classifiers in R library(data.table) library(tree) library(readr) NY <- read_delim("C:/Users/D/Desktop/NY.csv", ";", escape_double = FALSE, trim_ws...
Pcr&pls
Performing Principal Components Regression (PCR) and Partial Least Squares Regression (PLS) in R For UBER’s dataset library(tidyverse) library(caret) libra...
Load_clean
Part 1. Cleaning the database R code block: library(readr) NY <- read_delim("C:/Users/DDD/Desktop/NY.csv", ";", escape_double = FALSE, ...
Python Projects
Ordinary Least Squares
Regression, Data Science, Python
PCR & PLS
Regression, Data Science, Python
Clean_and _eda
Uber dataset in Rusia with Python This idea is based on replying the exercises from the previous post, but this time I prefered in a different database, thi...
Neural
Artificial Neural networks on python In this exercise we simulate the Artificial Neural Networks (ANN) in class, this is an easy example and it is applied i...
Statistics
Public spending efficiency
Public spending efficiency in the Regional Government of Madrid after Covid-19
Fluctuations in coin tossing
Fluctuations in coin tossing The ideal coin-tossing game will be described in the terminology of random walks which is better suited for generalizations. Fo...
Combinatorial analysys
Combinatorial analysis Probability Theory: An Introduction “What are the chances…” is an expression you probably use very often. Determining the chances of...
Tes
test for jupyter def trapezoidal(f, a, b, n): h = float(b - a) / n s = 0.0 s += f(a)/2.0 for i in range(1, n): s += f(a + i*h) s...
Regression
Ordinary Least Squares
Regression, Data Science, Python
PCR & PLS
Regression, Data Science, Python
Machine Learning
Monetary Policy Sentiment index
Sentiment Analysis of Monetary Policy Communication
Toptal challenge
Pandas and classification exercise import numpy as np import pandas as pd from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection impor...
data wrangling
Data Wrangling Project
Data Wrangling, Data Science, Messy Data
data science
Data Wrangling Project
Data Wrangling, Data Science, Messy Data
messy data
Data Wrangling Project
Data Wrangling, Data Science, Messy Data
Python
Monetary Policy Sentiment index
Sentiment Analysis of Monetary Policy Communication