Statistics is the art of dealing with Data of:
a. large amounts
Statistics is divided into two parts:
16 Introductory Data Analysis – HIS
1. Descriptive statistics:
• Calculating characteristic values: mean, median, standard deviation
• Graphical representation
2. Pedictive statistics: that tries to predict facts about large populations or about manufacturing
processes from observed/ measured facts in a small (produced) sample.
Top 27+ Free Software for Text Analysis, Text Mining, Text Analytics: Review of Top 27 Free Software for Text Analysis, Text Mining, Text Analytics includingGeneral Architecture for Text Engineering ? GATE, RapidMiner Text Mining Extension, KH Coder, VisualText, Datumbox, TAMS, QDA Miner Lite, Carrot2, CAT, GATE, tm, Gensim, Natural Language Toolkit, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable, LPU, Apache Mahout, Pattern, LingPipe, S-EM, LibShortText, Twinword, Apache Stanbol, Aika, Distributed Machine Learning Toolkit and Coh-Metrix.
Word embeddings are a modern approach for representing text in natural language processing. Embedding algorithms like word2vec and GloVe are key to the state-of-the-art results achieved by neural network models on natural language processing problems like machine translation. In this tutorial, you will discover how to train and load word embedding models for natural language ?
columns=dataset.iloc[:,[0,1]].values;# here first colon means selecting all rows then after comma means selecting feature/column so manually we can enter 0 and 1 and we can also put -1 to select all rows except the last one as we are making the last one as class #independent variables
label=dataset.iloc[:,].values;# dependent variables index in python starts from 0
#splitting the dataset into the traiing set and test set
from sklearn.cross_validation import train_test_split
columns_train,columns_test,label_train,label_test=train_test_split(columns,label,test_size=0.2,random_state=0)#if 10 observations/sample then 0.2 means two observations in a test set and 8 observations in test set
The Naive Bayes algorithm is simple and effective and should be one of the first methods you try on a classification problem. In this tutorial you are going to learn about the Naive Bayes algorithm including how it works and how to implement it from scratch in Python. Update: Check out the follow-up on tips for …
Software Engineer | Polyglot Programmer | Gym Lover | Cyclist | Algorithm Addict | Programming and Research enthusiast | Life Long Passionate Learner | Love CSE, Backend and Data
Hi, thanks for your interest on my blog 🙂 I am Syed Ahmed Zaki, Founder of CodeLiftio! This is my blog “Zakilive.Com” for sharing my knowledge and passion with you all.
I was born in a beautiful country of south asia named Bangladesh. I am a Computer Science and Engineering graduate from Daffodil International University. I am passionate, dedicated, hardworking about my tasks and fond of Algorithms, Competitive Programming, Mathematics, Research in data science(Machine Learning, AI, NLP, Deep Learning), bioinformatics and IoT. I also love software engineering. In software development field I prefer Web Application Engineering.
In my Daffodil life I tried to participate in several programming contests(online, onsite, intra etc.) and passed some time in ACM training class for sharpening my logical skills. As an ordinary people it was little bit tough for me alongside with academic pressure, thesis and research paper writing but I love challenges so I always tried to push my limits though still I need to improve a lot in everything but I always trust in this quote “Hard work beats talent”. That quote I have learned from my life through bodybuilding of 6 years since 2012 and after losing 33 KG fat in 4 months from 101 KG I developed my fit physique, so I respectfully believe in this sentence and relate this with CSE field. I also love to learn from my failures. I hate excuses while working professionally and I love trying to finish my work with perfection till the last moment before deadline.
I also love to explore and play with new technologies and try to implement it with innovative ideas. In my university life, I always tried to learn from the basics of CS. So, I have tried to gather Networking to Database Knowledge, OS fundamentals to OOP etc. all fundamental core basics in my skillset in a practical approach.
Alongside with developing some web applications in core php and laravel framework I have also tried to build games with unity3d game engine, built 2 android apps, experimented machine learning with python, data mining with WEKA, AI chatbot, IoT based weather station and some more project works for my undergraduate courses. As I am language and platform agnostic, I enjoyed and learned a lot from all of these works. I also love teamwork. Alongside software engineering and different extra curricular activities I also love teaching. I am also proficient at working with linux and windows based OSes and I feel so lucky if I get chance to contribute in opensource projects. In my linkedin profile you will find more details about me.
However, I am actually a knowledge seeker and life long passionate learner who tries to make his weakness as strength, I was a serious student of all the courses in CS academia that can solve real life problems as I love to explore knowledge in a crafted manner. I love to study books, blogs or whatever philosophically solve my curiosity. For that, I maintain a good collection of various technological, scientific and philosophical books in my small library. Knowledge sharing, analytical thinking, practice and passing the passion of mine with you is one of my motivations for running this blog. I practice to hone my skills with trying to improve my programming and developing skillset day by day and what I learn, I never forget to share here for you.
In my free time I love to do cycling or gym or play racing games in my android phone or watch animated movies and also love to promote positive, fit and healthy lifestyle among people.
Currently I am working with .NET technologies. If you have any opportunity/business to work with me or any other query kindly say just hi to me at my mail: [email protected]
Caution and Tips:
First, Try To Understand the Problem Statement. Second, Solve Code with Pen and Paper. Third, Then Write code and submit in the OJ to justify test cases. Fourth, If failed to AC then optimize your code to the better version. Fifth, After failed in 3rd time see my solution. Understnad the logic and implement by your own.
Please, don’t just copy-paste the code. It will kill your creativity 🙂