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Top 31 Pandas Freelancers on 22 May 2019 on Toogit. Pandas Freelancers on Toogit are highly skilled and talented. Hiring Pandas Freelancers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Pandas Freelancers on Toogit. Hiring Pandas Freelancers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Amrita GuhaData Analytics, India
$2 /hr
0 Years Exp.
0 Followers
My name is Amrita Guha, I have spent the past 2+ years doing number crunching and database management for my organizations and I am keen to continue d...Read More
Deepanshu BhindaData Scientist, Computer Vision Expert, India
$35 /hr
2 Years Exp.
0 Followers
“AI is the most important issue shaping society,” said veteran venture investor Ted Dintersmith. Truly believing the quote I would like to draw your a...Read More
Rohit SanjayPython Developer, India
$10 /hr
1 Years Exp.
0 Followers
I have 2+ years of experience in Python programming. I am extremely result oriented and driven. Visit my GitHub at github.com/rohitsanj
Pankaj IT manager , India
$8 /hr
7 Years Exp.
0 Followers
Engineer working in cross functional domain recently working in intelligent transportation systems
Kanhaiya AgarwalSoftware developer, India
$5 /hr
8 Years Exp.
0 Followers
I am have 6 year of java experience . Good in data structure , and algorithm . have 2 yearof experience in python , Machine learning and deep learnin...Read More
Shubham MishraBusiness Intelligence , India
$17 /hr
2 Years Exp.
0 Followers
I am currently working for an Organization named Birlasoft Pvt. Ltd. Experience: Birlasoft Pvt. Ltd. (1-yr) -> Working on building optimized ML m...Read More
Daksh SinghalData scientist, India
$8 /hr
1 Years Exp.
0 Followers
i have done many projects on machine learning and have an experience of working with startup for around a year as data Scientist.
Divij SehgalSoftware Engineer, India
$20 /hr
2 Years Exp.
0 Followers
I am a software developer with a penchant for web technologies, distributed systems, computer vision and machine learning.
Vernika GuptaPython Developer and Data Analyst, India
$25 /hr
1 Years Exp.
0 Followers
I am a Python Developer who can solve problems using Programming and also have the ability to get insights from large datasets using Python. What m...Read More
Dipesh Data consultant/ Solution Architect, India
$8 /hr
6 Years Exp.
0 Followers
• 6 year of experience as Database developer, Hadoop developer and Hadoop admin. • Comprehensive knowledge of Credit Risk Domain, Trading Domain. •...Read More
Kamlesh SutarSoftware Engineer, India
$15 /hr
4 Years Exp.
0 Followers
I am Software Engineer having 4 years of industry experience. I have expertise in Java, database, graphs databases, backend, shell scripting, and depl...Read More
Namrata BokadeExperienced Python Developer, India
$15 /hr
4 Years Exp.
0 Followers
Hi! I have 4 yrs experience as a Python developer. Also, I have good knowledge of Hadoop as well.
Swaroop LekharajuData Analyst, India
$6 /hr
1 Years Exp.
0 Followers
I am a certified python developer with 1 year experience in python programming for machine learning and data analysis with scikit- learn ,pandas and n...Read More
Abhik ChakrabortyData Analyst, India
$10 /hr
1 Years Exp.
0 Followers
I am a certified Big Data Developer . I have experience in working on various python libraries such as numpy and pandas . Also have introductory knowl...Read More
I'm a PMP certified IT Consultant with a Master’s degree in computer science. Over last 15 years, while working in various capacities, I've...Read More
A learning and evolving programmer with a constant zeal to improvise. Have recently started with machine learning and breaking down complex task into...Read More
Farhan BhoraniyaSoftware engineer, India
$1 /hr
1 Years Exp.
0 Followers
I have a 1+ years of experience in software development with expertise in Python, HTML, CSS. My main experience is in the field of security automation...Read More
Swagata DuttaMachine learning expert, India
$20 /hr
2 Years Exp.
0 Followers
I am a data enthusiast with interest in analytics, data science, machine learning and deep learning.
Sandeep SharmaWeb scraping, India
$5 /hr
2 Years Exp.
0 Followers
2-year experience as Project Analyst in Opera Solutions. Strong Knowledge of Python, Pandas, Web Crawling. Strong interpersonal and communication skil...Read More
Pritam PratihariData analyst, India
$20 /hr
2 Years Exp.
0 Followers
I am a Python developer with knowledge in machine learning
Nikhil AgrawalAndroid Developer and data scientist, India
$20 /hr
1 Years Exp.
0 Followers
Currently a B. Tech 2nd year student at IIT ROORKEE. I am very experienced in android app development and data science ( especially predictive modell...Read More
Panafidin IvanData Scientist / Engineer , Belgium
$31 /hr
10 Years Exp.
0 Followers
I'm experienced python developer passionate about data wrangling and ML
Rajesh TilwaniSoftware developer, India
$8 /hr
1 Years Exp.
0 Followers
I am software developer and tutor. I am working with the mentioned technologies and programming for last one year. I am a credible tutor at chegg.com...Read More
Shilpi GoyalFull stack frontend developer, India
$16 /hr
11 Years Exp.
189 Followers
I am a full stack frontend developer with 11 years experience. I am an expert in php, html5, css3, jquery, javascript
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How to delete rows from pandas dataframe?
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To delete a row or n rows from a pandas dataframe you can use following commandDataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='rais...

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Applying for a data scientist job can be an intimidating task as there can be many things to take care in an interview process — right from justifying the practical knowledge to showcasing the coding skills. While we have earlier discussed articles on how to crack data science interview and what are the things to keep in mind while appearing for an interview for data science-related roles. This article deals with some of the things that you might be doing wrong if ever you are rejected in a data science interview.

 

Here are five things you may have been doing wrong:

 

Not focusing on the job description: The definition of data science jobs is not always the same and may mean different roles and responsibilities for different companies. Some of the commonly required skills may be a PhD in statistics, Excel skills, machine learning generalist, Hadoop skills, Spark skills, among others. The job description largely varies for every company and it is important to thoroughly dig it and carefully look for specific skills, tools and languages. It is important to display the skills that the potential recruiter is looking for so that they can shortlist you easily.

 

No specific distinction of technical skills: The technical skills in data science and analytics industry is quite wide and not mentioning your strengths correctly might jeopardise your chances of cracking the interview. For instance, it might not be apt to just say machine learning skills as it might include a whole spectrum of things ranging from linear regression to neural networks. And these sub-areas might further require knowledge of specific tools and software such as Python, Keras, R or Pandas. It is always advisable to give specific skills that you master than describing generic skills as might confuse recruiters of the exact skills that you pose.

 

Incorrect information and rephrasing work experience: To suit the data science job roles, many a times candidates rephrase their previous work experiences such as in the IT or software domains to present it as data science job roles, which might disguise your abilities initially but expose the depth and understanding of the skills later. You might have included job description aligning in a way that suits data science job roles but you might not have a deeper experience in it, which may get noticeable by recruiters during a one-to-one interaction. Mentioning of incorrect or misleading facts may also lead to recruiters rejecting you. For instance, the resume may state achieved an accuracy of say 90% on the test run, but what are the baseline and state-of-the-art score for this dataset to claim these numbers?

 

No mention about the projects that you have worked on from the scratch: Many times the only projects that a candidate mention in a resume are the ones they have done on Kaggle. While Kaggle is a platform for a lot of researchers to explore avenues in data science, it also serves as a source of practice for people who aren’t a pro in data science field and are trying to make a transition, mentions a recruiter in one of the forums. There are different kinds of the audience at Kaggle such as those who are playing around with the dataset or getting to know how problem-solving in data science works like, without having actual experience in solving or creating a new data science problems. So, listing just Kaggle project might be good but not definitive of how good your data science skills are. Even if it a Kaggle project, it is better if it is done from scratch. Other than that, it is important to mention the projects that you have worked on. It gives recruiters a chance to understand the problems you faced and the way you approached the problem, thereby giving them a glance at your problem-solving abilities.

 

The resume is full of buzzwords and no concrete proof of your skills: While the resume may suit the job description, but there are chances that you are rejected if there are too many buzzwords in the resume and no concrete way to prove that you actually pose those skills. You may mention in the resume that you have had experience with Hadoop, Excel or certain areas, but if you have showcased it real-time on platforms such as GitHub, it convinces the potential employers of the skills you have. They can look through various projects you have been a part of and see how you have dealt with real data. Hiring managers like to see the time that a candidate has spent from start to finish. Having a portfolio gives recruiters just that. There may be fancy sounding terms in the resume, but if you don’t have a proof to showcase it, you might be rejected for a potential data science job role.

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