kaggle titanic

https://zhuanlan.zhihu.com/p/25185856 "Kaggle Instance Analysis" Titanic machine learning from disasterhttp://blog.csdn.net/wiking__acm/article/details/42742961 Titanic:machine Learning from disaster (Kaggle Data Mining contest)http://blog.csdn.net/han_xiaoyang/article/details/49797143 must-readHttps://github.com/yew1eb/DM-Competition-Getting-Started/tree/master/

implementation of the play recommendation systemThis course is a simple play recommendation system based on the Python Flask Framework and the MySQL implementation. In this lesson we will learn how to connect to MySQL database using Python, how to query and display data and design recommendations algorithms and other knowledge.7. Introduction to Kaggle: Titanic survivor ProgramKaggle is an online data scie

, decision trees, ensemble modeling and clustering. You can also see the various machine learning options available on R by seeing the relevant CRAN view here.Additional Resources: If There is a book on the data mining using R you want, it's on Rattle You can learn the on time series forecasting from the Booklet–a Little book for time series in R. Some machine learning in R are here. You can enroll in a free course here. Step 7: Practice, practice and practiceCongratulatio

Torch7 Demos Repository. Kernel Torch7 Demo Library Linear regression, Logistic regression Face Detection (training and testing are independent demos) The word breaker based on MST Train-a-digit-classifier Train-autoencoder Optical Flow Demo Train-on-housenumbers Train-on-cifar Tracking with deep nets Kinect Demo Visualization of filtering Saliency-networks Training a convnet for the Galaxy-zoo

from images Videograph-torch's video/Graphics Library provides routines for creating, splitting, building, and converting videos from videos Saliency-code and tool for integral images, used to find points of interest from the Quick integral histogram. Stitch-splice an image with Hugin and generate a video sequence. SFM-bundle adjustment/structure package for motion scenarios FEX-torch Feature Extraction package provides sift and dsift modules. Overfeat-the highest level of gen

to find points of interest from the Quick integral histogram. Stitch-splice an image with Hugin and generate a video sequence. SFM-bundle adjustment/structure package for motion scenarios FEX-torch Feature Extraction package provides sift and dsift modules. Overfeat-the highest level of general Density Feature Extraction. Numeric Lua Lunatic Python Scilua Lua-Numerical Algorithms Lunum Demo and script Core torch7 demos repository. Core torch7 demo Library Linear regr

Nathan and I have been working on the Titanic kaggle problem using the Pandas data Analysis library and one thing we wante D To do is add a column to a dataframe indicating if someone survived. We had the following (simplified) dataframe containing some information about customers on board the Titanic: def addrow (DF, Row): Return df.append (PD.

learns the residuals of all previous tree conclusions and the residuals are the sum of the actual values that can be added to the predicted value. For example, A's true age is 18 years old, but the first tree predicts the age is 12 years old, the difference is 6 years old, namely the residual difference is 6 years old. So in the second tree we set the age of a to 6 years old to study, if the second tree really can point a to a 6-year-old leaf knot, the sum of the two trees is the true age of A;

refrence:http://cloga.info/python/2014/02/07/classify_use_sklearn/Load a data setHere I use pandas to load the dataset, and the DataSet takes the Kaggle Titanic dataset and downloads train.csv.Import= pd.read_csv ('train.csv'# replaces missing values with 0 Df.head () passengerid survived Pclass Name Sex Age sibsp Parch Ticket Fare Cabin

Kaggle official production of a mirror, which encapsulates the xgboost, Anaconda, TensorFlow and other commonly used libraries and software, and Kaggle will continue to update, Province's own to update. The Docker market also has a variety of images, such as MySQL, Ubuntu and so on, as you choose. Docker Pull Kaggle/python To download a few g, peace of mind an

attributes to take the logarithm;4.None, then the maximum number of attributes is the total number of attributes; max_leaf_nodes : This parameter is used to determine the maximum number of leaf nodes in the final decision tree model, with no limit by default, or Noneclass_weight : Used to deal with the weight of the category imbalance problem, it is recommended to use "balanced", that is, automatically according to the prior distribution of the right, the default is None, that is, ignore the we

instances to design and implement several stages. In this process, the proper use of OO language will affect the adaptability of software to demand changes, and its use of proficiency is often the benchmark for evaluating software developers. As far as possible away from switch-polymorphic and abstract classes The foundation of OO thought is to treat objects with States and methods as elementary particles of the system, and to describe the behavior of the system by interaction (or communicati

this is not the same Pandas knowledge you need to use in real-world data analysis. You can divide your study into two categories: Independent of data analysis, learning Pandas Library Learn to use Pandas in real-world data analysis For example, the difference between the two is similar to that of learning how to cut a twig in half, the latter is to chop some trees in the forest. Before we discuss this in more detail, let's take a look at both of these methods.Independent of da

", Tlab=rain)> Month=c ("jan", "feb", "mar", "apr", "may", "june", "jul", "april", "sep", "oct", "nov", "dec")> Axis (side=1,at=1:length (rain), labels=month)> Axis (side=2)> Box ()First use Axes=false to close the axis, then use axis () to redefine the x-axis, side=1 for which direction you want the axis to be built, 1 for the bottom, 2 for the left, 3 for the top, and 4 for the Right. At= indicates the position of the coordinate points to be specified in the form of 1:n, labels is the sign Sig

How Much did It Rain? Winner ' s interview:1st place, Devin AnzelmoAn early insight to the importance of splitting the data on the number of radar scans in each row helped Devin Anzelmo tAke first place in the What Much did It Rain? Competition. In this blog, he gets to details on the his approach and shares key visualizations (with code!) from the He analysis.351 players on 321 teams built models to predict probabilistic distributions of hourly rainfallThe basicswhat is your background prior to

1. My heart will go on-Celine Dion-theme song from the movie Titanic Reason for recommendation: Repeat the voice of silon, and reproduce yesterday's love between Jack and Rose. Movie Posters: Movie plot: In April 15, 1912, the giant ship Titanic, carrying 1316 passengers and 891 crew members, collided with the iceberg and sank. This sea was considered one of the ten major disasters of the 20th century. In 1

to be higher, so we can recommend The Great Gatsby film to Xiao Hong in the film recommendation, This algorithm, which uses the information of similar users, is called user-based (user-based) collaborative filtering algorithm, which corresponds to the item-based (commodity-based) collaborative filtering algorithm, based on the idea of the product collaborative filtering algorithm is roughly, those with the user's favorite products similar to the goods, To some extent the user should also like,

Great Gatsby film to Xiao Hong when we make the film recommendation. This algorithm, which uses information from similar users, is called the user-based (user-based) collaborative filtering algorithm, which corresponds to this. There is a item-based (commodity-based) collaborative filtering algorithm, based on the idea of collaborative filtering of commodities is roughly. The products that are similar to the products that users like, in a way that users should like, put here. Little Red likes t

The basic decision tree algorithm，The basic decision tree algorithm can be designed to be a recursive algorithm, recursive algorithm when no need or can not be divided when the return value, the red part of the above marked the return of the recursive function three cases, the first case is the training set of the same label, the result is directly labeled as the label can be. The second case is that the property set is empty and the same in both cases. The third case is that the training set is

= Sns.load_dataset ("Iris") #传入数据sns. Pairplot (Iris) Output:There are four groups of data, diagonal because it is a single data, so it is a histogram of the individual data, scatter chart is obtained by two sets of data.Regplot () and Lmplot () can both draw regression relationships, recommended Regplot ()Sns.regplot (x= "Total_bill", y= "Tip", data=tips)Output:If the value is an integer, it is not appropriate to establish a regression model, such as:Sns.regplot (data=tips,x= "size", y=